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  • 1.
    Almér, Alexander
    et al.
    Chalmers University of Technology and Gothenburg University, Sweden.
    von Hautwitz, Rickard
    Chalmers University of Technology and Gothenburg University, Sweden.
    Dodig-Crnkovic, Gordana
    Chalmers University of Technology and Gothenburg University, Sweden.
    Collective Cognition and Distributed Information Processing from Bacteria to Humans: Proc. AISB Conference Kent 2015.2015In: 41st Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour: (AISB 2015), 2015, p. 119-124Conference paper (Refereed)
    Abstract [en]

    The aim of this paper is to propose a general infocomputational model of cognition that can be applied to living organisms from the level of a single cell´s cognition to the level of groups of increasingly complex organisms with social, distributed cognition. We defend the project of new cognitivism, which unlike the old one acknowledges the central role of embodiment for cognition. Information processing going on in a cognising agent range from transduction of chemical signals and “quorum sensing” in bacteria, via simple local rules of behaviour that insects follow and that manifest themselves as “swarm intelligence”, to human level cognition with full richness of human languages and other systems of communication.

  • 2.
    BACKHAUS, PATRICK
    et al.
    Mälardalen University, School of Innovation, Design and Engineering. Paderborn University, Germany.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Wikileaks and Ethics of Whistle Blowing2011Conference paper (Refereed)
  • 3.
    Burgin, Mark
    et al.
    Faculty of Philosophy, Pontifical Lateran University, Vatican City.
    Dodig Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    From the Closed Classical Algorithmic Universe to an Open World of Algorithmic Constellations2013In: Computing Nature: Turing Centenary Perspective, Springer, 2013, p. 241-253Chapter in book (Other academic)
    Abstract [en]

    In this paper we analyze methodological and philosophical implications of algorithmic aspects of unconventional computation. At first, we describe how the classical algorithmic universe developed and analyze why it became closed in the conventional approach to computation. Then we explain how new models of algorithms turned the classical closed algorithmic universe into the open world of algorithmic constellations, allowing higher flexibility and expressive power, supporting constructivism and creativity in mathematical modeling. As Gödel’s undecidability theorems demonstrate, the closed algorithmic universe restricts essential forms of mathematical cognition. In contrast, the open algorithmic universe, and even more the open world of algorithmic constellations, remove such restrictions and enable new, richer understanding of computation.

  • 4.
    Burgin, Mark
    et al.
    University of California.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    A Systematic Approach to Artificial Agents2009Report (Other academic)
    Abstract [en]

    Agents and agent systems are becoming more and more important in the development of a variety of fields such as ubiquitous computing, ambient intelligence, autonomous computing, intelligent systems and intelligent robotics. The need for improvement of our basic knowledge on agents is very essential. We take a systematic approach and present extended classification of artificial agents which can be useful for understanding of what artificial agents are and what they can be in the future. The aim of this classification is to give us insights in what kind of agents can be created and what type of problems demand a specific kind of agents for their solution.

  • 5.
    Burgin, Mark
    et al.
    UCLA - University of California, Los Angeles, USA .
    Dodig-Crnkovic, Gordana
    Chalmers University of Technology and University of Gothenburg.
    A Taxonomy of Computation and Information Architecture: ECSA 2015 ASDS Workshop. In Proceedings of the 2015 European Conference on Software Architecture Workshops (ECSAW '15). ACM, New York, NY, USA.2015In: 9th European Conference on Software Architecture Workshops ECSAW 2015, 2015, Vol. Article No. 7Conference paper (Refereed)
    Abstract [en]

    This paper presents taxonomy of models of computation. It includes Existential (Physical, Abstract and Cognitive), Organizational, Temporal, Representational, Domain/Data, Operational, Process-oriented and Level-based taxonomy. It is connected to more general notion of natural computation, intrinsic to physical systems, and particularly to cognitive computation in living organisms and artificial cognitive systems. Computation is often understood through the Turing machine model, in the fields of computability, computational complexity and even as a basis for the present-day computer hardware and software architectures. However, several aspects of computation, even those existing in today's applications, are left outside in this model, thus adequate models of real-time, distributed, self-organized, resource-aware, adaptive, learning computation systems are currently being developed.

  • 6.
    Burgin, Mark
    et al.
    Dept. of Mathematics, UCLA, Los Angeles, United States.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    From the Closed Universe to an Open World2012In: AISB/IACAP World Congress 2012: Natural Computing/Unconventional Computing and Its Philosophical Significance, Part of Alan Turing Year 2012 / [ed] Gordana Dodig-Crnkovic and Raffaela Giovagnoli, The Society for the Study of Artificial Intelligence and Simulation of Behaviour , 2012, p. 102-106Conference paper (Refereed)
    Abstract [en]

    There are different aspects and spheres of unconventional computations. In this paper, we analyze philosophical and methodological implications of algorithmic issues of unconventional computations. At first, we describe how the algorithmic universe was developed and analyze why it became closed in the conventional approach to computation. Then we explain how the new models of algorithms changed the algorithmic universe, making it open and allowing higher flexibility and superior creativity. As Gödel undecidability theorems imply, the closed algorithmic universe restricts essential forms of human cognition, while the open algorithmic universe eliminates such restrictions.

  • 7.
    Burgin, Mark
    et al.
    UCLA - University of California, USA.
    Dodig-Crnkovic, Gordana
    University of Gothenburg, Sweden.
    Prolegomena to Information Taxonomy2017In: Proceedings, Volume 1, Issue 3 (August 2017) PROC-MDPI-Vol1, ISSN 2409-9287, Vol. 1, no 3, p. 210-213Article in journal (Refereed)
    Abstract [en]

    There is a diversity of different types and kinds of information. To organize this huge collection into a system, it is necessary to classify information with respect to various criteria developing a multiscale (multiaspect) information taxonomy, in which each dimension is an aspect information taxonomy. We construct such a multiscale (multiaspect) information taxonomy based on the general theory of information [1–3] and making use of its principles and technical tools.

  • 8.
    Burgin, Mark
    et al.
    UCLA - University of California, Los Angeles .
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    The Nature of Computation and The Development of Computational Models2013Conference paper (Refereed)
  • 9.
    Dodig Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Alan Turing’s Legacy: Info-Computational Philosophy of Nature2013In: Computing Nature: Turing Centenary Perspective, Springer , 2013, p. 115-123Chapter in book (Other academic)
    Abstract [en]

    Alan Turing’s pioneering work on computability, and his ideas on morphological computing support Andrew Hodges’ view of Turing as a natural philosopher. Turing’s natural philosophy differs importantly from Galileo’s view that the book of nature is written in the language of mathematics (The Assayer, 1623). Computing is more than a language used to describe nature as computation produces real time physical behaviors. This article presents the framework of Natural info-computationalism as a contemporary natural philosophy that builds on the legacy of Turing’s computationalism. The use of info-computational conceptualizations, models and tools makes possible for the first time in history modeling of complex self-organizing adaptive systems, including basic characteristics and functions of living systems, intelligence, and cognition.

  • 10.
    Dodig Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Good to Have Someone Watching Us from a Distance? Privacy vs. Security at the Workplace2005In: Ethics of New Information Technology: Proceedings of the Sixth International Conference of Computer Ethics: Philosophical Enquiry, CEPE 2005, July 17-19 / [ed] Brey P, Grodzinsky F and Introna L, Enchede: Center for Telematics and Information Technology and CEPTES , 2005Chapter in book (Refereed)
  • 11.
    Dodig Crnkovic, Gordana
    et al.
    Mälardalen University, School of Innovation, Design and Engineering.
    Larsson, Thomas
    Mälardalen University, School of Innovation, Design and Engineering.
    Game Ethics - Homo Ludens as a Computer Game Designer and Consumer2005In: International Review of Information Ethics, ISSN 1614-1687, E-ISSN 1614-1687, Vol. 4, no 12Article in journal (Refereed)
    Abstract [en]

    Play and games are among the basic means of expression in intelligent communication, influenced by the relevant cultural environment. Games have found a natural expression in the contemporary computer era in which communications are increasingly mediated by computing technology. The widespread use of e-games results in conceptual and policy vacuums that must be examined and understood. Humans involved in design-ing, administering, selling, playing etc. computer games encounter new situations in which good and bad, right and wrong, are not defined by the experience of previous generations. This article gives an account of the historical necessity of games, the development of e-games, their pros- and cons, threats and promises, focusing on the ethical awareness and attitudes of game developers.

  • 12.
    Dodig Crnkovic, Gordana
    et al.
    Mälardalen University, School of Innovation, Design and Engineering.
    Stuart, SusanGlasgow, UK.
    Computation, information, cognition:  the nexus and the liminal2007Collection (editor) (Refereed)
  • 13.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Agent Based Modeling with Applications to Social Computing2011In: Proceedings IACAP 2011. The Computational Turn: Past, Presents, Futures?3, 2011Conference paper (Refereed)
  • 14.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Alan Turing’s Legacy: Info-Computational Philosophy of Nature2012In: Natural Computing/Unconventional Computing and its Philosophical Significance / [ed] Gordana Dodig-Crnkovic and Raffaela Giovagnoli, The Society for the Study of Artificial Intelligence and Simulation of Behaviour , 2012, p. 56-59Conference paper (Refereed)
    Abstract [en]

    Alan Turing’s pioneering work on computability, and his ideas on morphological computing support Andrew Hodges’ view of Turing as a natural philosopher. Turing’s natural philosophy differs importantly from Galileo’s view that the book of nature is written in the language of mathematics (The Assayer, 1623). Computing is more than a language of nature as computation produces real time physical behaviors. This article presents the framework of Natural Info-computationalism as a contemporary natural philosophy that builds on the legacy of Turing’s computationalism. Info-computationalism is a synthesis of Informational Structural Realism (the view that nature is a web of informational structures) and Natural Computationalism (the view that nature physically computes its own time development). It presents a framework for the development of a unified approach to nature, with common interpretation of inanimate nature as well as living organisms and their social networks. Computing is understood as information processing that drives all the changes on different levels of organization of information and can be modeled as morphological computing on data sets pertinent to informational structures. The use of infocomputational conceptualizations, models and tools makes possible for the first time in history the study of complex selforganizing adaptive systems, including basic characteristics and functions of living systems, intelligence, and cognition.

  • 15.
    Dodig-Crnkovic, Gordana
    Mälardalen University, Department of Computer Science and Electronics.
    Bildning & Computing2006Conference paper (Refereed)
  • 16.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Biological Information and Natural Computation2010In: Thinking machines and the philosophy of computer science: concepts and principles / [ed] Jordi Vallverdu, ershey PA : Information Science Reference , 2010, p. 36-52Chapter in book (Other academic)
    Abstract [en]

    The dynamics of natural systems, and particularly organic systems, specialized in selforganization and complexity management, presents a vast source of ideas for new approaches to computing, such as natural computing and its special case organic computing. Based on paninformationalism (understanding of all physical structures as informational) and pancomputationalism or natural computationalism (understanding of the dynamics of physical structures as computation) a new approach of info-computational naturalism emerges as a result of their synthesis. This includes naturalistic view of mind and hence naturalized epistemology based on evolution from inanimate to biological systems through the increase in complexity of informational structures by natural computation. Learning on the info-computational level about structures and processes in nature and especially those in intelligent and autonomous biological agents enables the development of advanced autonomous adaptive intelligent artifacts and makes possible connection (both theoretical and practical) between organic and inorganic systems.

  • 17.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Book Review, Philosophy of Computing and Information - 5 Questions2009In: Cybernetics & Human Knowing, ISSN 0907-0877, E-ISSN 1756-6177, Vol. 16, no 3-3, p. 195-200Article, book review (Refereed)
    Abstract [en]

    This is a book review for the Journal of Second Order Cybernetics, Autopoiesis & Cyber-Semiotics

  • 18.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Cognitive Revolution, Virtuality and Good Life2013In: AI & Society: The Journal of Human-Centred Systems and Machine Intelligence, ISSN 0951-5666, E-ISSN 1435-5655, Vol. 28, no 3, p. 319-327Article in journal (Refereed)
    Abstract [en]

    We are living in an era when the focus of human relationships with the world is shifting from execution and physical impact to control and cognitive/informational interaction. This emerging, increasingly informational world is our new ecology, an infosphere that presents the grounds for a cognitive revolution based on interactions in networks of biological and artificial, intelligent agents. After the industrial revolution, which extended the human body through mechanical machinery, the cognitive revolution extends the human mind/cognition through information-processing machinery. These novel circumstances come with new qualities and preferences demanding new conceptualizations. We have some work ahead of us to establish value systems and practices extended from the real to the increasingly virtual/info-computational. This paper first presents a current view of the virtual versus the real and then offers an interpretation framework based on an info-computational understanding of cognition in which agency implies computational processing of informational structures of the world as an infosphere. The notion of “good life” is discussed in light of different ideals of well-being in the infosphere, connecting virtuality as a space of potential and alternative worlds for an agent for whom the reality is a space of actual experiences, in the sense of Deleuze. Even though info-computational framework enables us to see both the real world and the diversity of virtual worlds in terms of computational processes on informational structures, based on a distinct layered cognitive architecture of all physical agents, there is clear difference between potential worlds of the virtual and actual agent’s experiences made in the real. Info-computationalism enables insight into the mechanisms of infosphere and elucidates its importance as cognitively predominant environment and communication media. The conclusion is that by cocooning ourselves in an elaborate info-computational infrastructure of the virtual, we may be increasingly isolating ourselves from the reality of direct experience of the world. The biggest challenges of the cognitive revolution may not be technological but ethical. They are about the nature of being human and its values.

  • 19.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Chalmers University of Technology, Sweden.
    Computational Dynamics of Natural Information Morphology, Discretely Continuous2017In: Philosophies MDPI, ISSN 2409-9287, Vol. 1, no 1, p. 1-10Article in journal (Refereed)
    Abstract [en]

    This paper presents a theoretical study of the binary oppositions underlying the mechanisms of natural computation understood as dynamical processes on natural information morphologies. Of special interest are the oppositions of discrete vs. continuous, structure vs. process, and differentiation vs. integration. The framework used is that of computing nature, where all natural processes at different levels of organisation are computations over informational structures. The interactions at different levels of granularity/organisation in nature, and the character of the phenomena that unfold through those interactions, are modeled from the perspective of an observing agent. This brings us to the movement from binary oppositions to dynamic networks built upon mutually related binary oppositions, where each node has several properties.

  • 20.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Computing and Philosophy Global Course2008In: APA Newsletter, Vol. 8, no 1, p. 38-41Article in journal (Refereed)
    Abstract [en]

    The first Computing and Philosophy Global Course is planned for fall 2008 as a result of collaboration

    between several European and American universities and with ambition to grow in the future into an

    even bigger course including more countries worldwide (CaP 2008). The course is based on an earlier

    Swedish National Course (see Dodig-Crnkovic & Crnkovic 2007). The co-organizers and invited

    speakers include Peter Boltuc, Keith Miller, Gaetano Lanzarone, Vincent Muller and Gordana Dodig-

    Crnkovic, the course coordinator, with involvement of students from respective institutions. Luciano

    Floridi, Marvin Croy and Bill Rapaport are associated with the project.

  • 21.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Constructive Research and Info-Computational Knowledge Generation2010In: Model-Based Reasoning In Science And Technology - Abduction, Logic, and Computational Discovery Conference, 2010, p. 359-380Conference paper (Refereed)
    Abstract [en]

    It is usual when writing on research methodology in dissertations and thesis work within Software Engineering to refer to Empirical Methods, Grounded Theory and Action Research. Analysis of Constructive Research Methods which are fundamental for all knowledge production and especially for concept formation, modeling and the use of artifacts is seldom given, so the relevant first-hand knowledge is missing. This article argues for introducing of the analysis of Constructive Research Methods, as crucial for understanding of research process and knowledge production. The paper provides characterization of the Constructive Research Method and its relations to Action Research and Grounded Theory. Illustrative examples from Software Engineering, Cognitive Science and Brain Simulation are presented. Finally, foundations of Constructive Research are analyzed within the framework of Info-Computationalism. 

  • 22.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Context Dependence and Value Systems in Science: Computing Paradigm Shift2009Conference paper (Refereed)
    Abstract [en]

    http://www.idt.mdh.se/projects/PIFF/Context%20Dependence%20and%20Value%20Systems%20in%20Science.pdf

  • 23.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Dynamics of Information as Natural Computation2011In: Information, ISSN 2078-2489, Vol. 2, no 3, p. 460-477Article in journal (Refereed)
    Abstract [en]

    Processes considered rendering information dynamics have been studied, among others in: questions and answers, observations, communication, learning, belief revision, logical inference, game-theoretic interactions and computation. This article will put the computational approaches into a broader context of natural computation, where information dynamics is not only found in human communication and computational machinery but also in the entire nature. Information is understood as representing the world (reality as an informational web) for a cognizing agent, while information dynamics (information processing, computation) realizes physical laws through which all the changes of informational structures unfold. Computation as it appears in the natural world is more general than the human process of calculation modeled by the Turing machine. Natural computing is epitomized through the interactions of concurrent, in general asynchronous computational processes which are adequately represented by what Abramsky names “the second generation models of computation” which we argue to be the most general representation of information dynamics.

  • 24.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Empirical Modeling and Information Semantics2008In: Mind & Society, ISSN 1593-7879, Vol. 7, no 2, p. 157-166Article in journal (Refereed)
    Abstract [en]

    This paper investigates the relationship between reality and model, information and truth. It will argue that meaningful data need not be true in order to constitute information. Information to which truth-value cannot be ascribed, partially true information or even false information can lead to an interesting outcome such as technological innovation or scientific breakthrough. In the research process, during the transition between two theoretical frameworks, there is a dynamic mixture of old and new concepts in which truth is not well defined. Instead of veridicity, correctness of a model and its appropriateness within a context are commonly required. Despite empirical models being in general only truthlike, they are nevertheless capable of producing results from which conclusions can be drawn and adequate decisions made.

  • 25.
    Dodig-Crnkovic, Gordana
    Mälardalen University, Department of Computer Science and Electronics.
    Epistemology Naturalized: The Info-Computationalist Approach2007In: APA Newsletter on Philosophy and Computers, Vol. 06, p. 9-13Article in journal (Refereed)
  • 26.
    Dodig-Crnkovic, Gordana
    Mälardalen University, Department of Computer Science and Electronics.
    Ethics and Privacy of Communications in Global E-Village2006In: ENCYCLOPEDIA OF DIGITAL GOVERNMENT, Idea Group Inc., 2006Chapter in book (Other academic)
  • 27.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    European Computing and Philosophy, 2-4 July2009In: The Reasoner, ISSN 1757-0522, E-ISSN 1757-0522, Vol. 3, no 9, p. 11-11Article in journal (Other academic)
    Abstract [en]

    http://www.thereasoner.org/

  • 28.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Floridi's Information Ethics as Macro-Ethics and Info-Computational Agent-Based Models2012In: Luciano Floridi`s Philosophy of Technology: Critical reflections, Springer, 2012, p. 3-22Chapter in book (Other academic)
    Abstract [en]

    Luciano Floridi's Information Ethics (IE) is a new theoretical foundation of Ethics. According to Floridi, ICT with all informational structures and processes generates our new informational habitat, the Infosphere. For IE, moral action is an information processing pattern. IE addresses the fundamentally informational character of our interaction with the world, including interactions with other agents. Information Ethics is macro-ethics as it focuses on systems/networks of agents and their behavior. IEs capacity to study ethical phenomena on the basic level of underlying information patterns and processes makes it unique among ethical theories in providing a conceptual framework for fundamental level analysis of present globalised ICT-based world. It allows computational modeling - a powerful tool for study which increases our understanding of informational mechanisms of ethics. Computational models help capturing behaviors invisible to unaided mind which relies exclusively on shared intuitions. The article presents an analysis of application of IE as interpreted within the framework of Info- Computationalism. The focus is on responsibility/accountability distribution and similar phenomena of information communication in networks of agents. Agent based modeling enables study of the increasing complexity of behavior in multi-agent systems when agents (actors) are ranging from cellular automata to softbots, robots and humans. Autonomous, learning artificial intelligent systems technologies are developing rapidly, resulting in a new division of tasks between humans and robots/softbots. The biggest present-day concern about autonomous intelligent systems is the fear of human loss of control and robots acting inappropriately and causing harm. Among inappropriate kinds of behavior is the ethically unacceptable one. In order to assure ethically adequate behavior of autonomous intelligent systems, artifactual ethical responsibility/accountability should be one of the built-in features of intelligent artifacts. Adding the requirement for artifactual ethical behavior to a robot/softbot does not by any means take responsibility from humans designing, producing and controlling autonomous intelligent systems. On the contrary, it will make explicit the necessity for all involved with such intelligent technology to assure its ethical conduct. Today's robots are used mainly as complex electromechanical tools and do not have any capability of taking moral responsibility. But technology progress is remarkable; robots are quickly improving their sensory and motor competencies, and the development of artifactual (synthetic) emotions adds new dimensions to robotics. Artifactual reasoning and other information processing skills are advancing - all of which is causing significant progress of the field of Social Robotics. We have thus strong reasons to try to analyze future technological development where robots/softbots are so intelligent and responsive that they possess artifactual morality alongside with artifactual intelligence. Technological artifacts are always part of a broader socio-technological system with distributed responsibilities. The development of autonomous, learning, morally responsible intelligent agents relies consequently on several responsibility feedback loops; the awareness and preparedness for handling risks on the side of designers, producers, implementers, users and maintenance personnel as well as the support of the society at large which will provide a response on the consequences of the use of technology. This complex system of shared responsibilities should secure safe functioning of hybrid systems of humans and intelligent machines. Information Ethics provides a conceptual framework for computational modeling of such socio-technological systems. Apart from examples of specific applications of IE, interpretation of several widely debated questions such as the role of Levels of Abstraction, naturalism and complexity/diversity in Information Ethics are offered through Info-Computationalist analysis.

  • 29.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Floridi's informational structural realist basis for info-computational modelling of cognizing agents2015In: Journal of experimental and theoretical artificial intelligence (Print), ISSN 0952-813X, E-ISSN 1362-3079, Vol. 27, no 1, p. 13-22Article in journal (Refereed)
    Abstract [en]

    Informational structural realism, ISR (Floridi, 2008a), describes the reality as a complex informational structure for an epistemic agent interacting with the universe by the exchange of data as constraining affordances. In conjunction with naturalist computationalism - the view that the dynamics of the nature can be understood as computation - Floridi's ISR presents a basis for the construction of the unified framework of info-computationalism. In this framework, the fundamental mechanism of all natural computation is morphological computation, expressed as a process of information self-organisation, with information structure understood in the sense of Floridi's ISR. Recently, in robotics, morphological computing has been used for decentralised embodied control of robots. In this article, we describe how appropriate body morphology saves information-processing (computation) resources as well as enables learning through self-structuring of information in an epistemic, cognizing agent.

  • 30.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Info-computational constructivism and cognition2014In: Constructivist Foundations, ISSN 1782-348X, E-ISSN 1782-348X, Vol. 9, no 2, p. 223-231Article in journal (Refereed)
    Abstract [en]

    Context: At present, we lack a common understanding of both the process of cognition in living organisms and the construction of knowledge in embodied, embedded cognizing agents in general, including future artifactual cognitive agents under development, such as cognitive robots and softbots. Purpose: This paper aims to show how the info-computational approach (IC) can reinforce constructivist ideas about the nature of cognition and knowledge and, conversely, how constructivist insights (such as that the process of cognition is the process of life) can inspire new models of computing. Method: The info-computational constructive framework is presented for the modeling of cognitive processes in cognizing agents. Parallels are drawn with other constructivist approaches to cognition and knowledge generation. We describe how cognition as a process of life itself functions based on info-computation and how the process of knowledge generation proceeds through interactions with the environment and among agents. Results: Cognition and knowledge generation in a cognizing agent is understood as interaction with the world (potential information), which by processes of natural computation becomes actual information. That actual information after integration becomes knowledge for the agent. Heinz von Foerster is identified as a precursor of natural computing, in particular bio computing. Implications: IC provides a framework for unified study of cognition in living organisms (from the simplest ones, such as bacteria, to the most complex ones) as well as in artifactual cognitive systems. Constructivist content: It supports the constructivist view that knowledge is actively constructed by cognizing agents and shared in a process of social cognition. IC argues that this process can be modeled as info-computation.

  • 31.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Info-computational constructivism in modeling of life2013Conference paper (Refereed)
  • 32.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Info-Computational Philosophy of Nature: An Informational Universe With Computational Dynamics2011In: Festschrift for Søren Brier, 2011Chapter in book (Other academic)
  • 33.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Info-computationalism and Morphological Computing of Informational Structure2012In: Integral Biomathics: Tracing the road to reality / [ed] Plamen L. Simeonov, Leslie S. Smith, Andrée C. Ehresmann, Berlin, New York: Springer, 2012, p. 97-104Chapter in book (Other academic)
  • 34.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Info-Computationalism and Philosophical Aspects of Research in Information Sciences2014In: Philosophy, Computing and Information Science / [ed] Ruth Hagengruber, Routledge, 2014Chapter in book (Other academic)
  • 35.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Info-Computationalism and Philosophical Aspects of Research in Information Sciences (keynote)2008Conference paper (Refereed)
    Abstract [en]

    The historical development has lead to the decay of Natural Philosophy which until 19th century included all of our knowledge about the physical world into the growing multitude of specialized sciences, within gThe Classical Model of Scienceh. The focus on the in]depth enquiry disentangled from its broad context lead to the problem of loss of common world]view and impossibility of communication between specialist research fields because of different languages they developed in isolation. The need for a new unifying framework is becoming increasingly apparent with the information technology enabling and intensifying the communication between different research fields, knowledge communities and information sources. This time, not only natural sciences, but also all of human knowledge is being integrated in a global network such as Internet with its diverse knowledge and language communities. Info]computationalism (ICON) as a synthesis of pancomputationalism and paninformationalism presents a unifying framework for understanding of natural phenomena including living beings and their cognition, their ways of processing information and producing knowledge. Within ICON physical universe is understood as a network of computational processes on an informational structure. The 2/16 matter/energy in this model is replaced by information/computation where information is the structure, whose dynamics are identified as natural computation.

  • 36.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Information and Computation Nets2009Book (Other academic)
    Abstract [en]

    Information and Computation Nets The book presents investigations into the world of info-computational nature, in which information constitutes the structure, while computational process amounts to its change. Information and computation are inextricably bound: There is no computation without informational structure, and there is no information without computational process. Those two complementary ideas are used to build a conceptual net, which according to Novalis, is a theoretical way of capturing reality. We try to apprehend the reality within a framework known as natural computationalism, the view that the whole universe can be understood as a computational system at many different levels – from quantum mechanical world, to biological organisms including intelligent minds and their societies. Questions about nature of information and computation and their unified view are addressed along with application of info-computational approach to knowledge.

  • 37.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Information and Energy/Matter2012In: Information, ISSN 2078-2489, Vol. 3, no 4, p. 751-755Article in journal (Refereed)
  • 38.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Information, Computation, Cognition. Agency-based Hierarchies of Levels.2013Conference paper (Refereed)
  • 39.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Chalmers University of Technology and Gothenburg University.
    Interdisciplinary research and information dynamics2015Other (Other academic)
  • 40.
    Dodig-Crnkovic, Gordana
    Chalmers University of Technology, Gothenburg, Sweden.
    Introduction to the Proceedings of the is4si-2017 Summit of the International Society for the Study of Information on Digitalisation for a Sustainable Society2017In: Proceedings, Volume 1, Issue 3 (August 2017) PROC-MDPI-Vol1, ISSN 2409-9287, Vol. 1, no 3, p. 1-3Article in journal (Refereed)
  • 41.
    Dodig-Crnkovic, Gordana
    Mälardalen University, Department of Computer Science and Electronics.
    Investigations into Information Semantics and Ethics of Computing2006Doctoral thesis, comprehensive summary (Other scientific)
    Abstract [en]

    The recent development of the research field of Computing and Philosophy has triggered investigations into the theoretical foundations of computing and information.

    This thesis consists of two parts which are the result of studies in two areas of Philosophy of Computing (PC) and Philosophy of Information (PI) regarding the production of meaning (semantics) and the value system with applications (ethics).

    The first part develops a unified dual-aspect theory of information and computation, in which information is characterized as structure, and computation is the information dynamics. This enables naturalization of epistemology, based on interactive information representation and communication. In the study of systems modeling, meaning, truth and agency are discussed within the framework of the PI/PC unification.

    The second part of the thesis addresses the necessity of ethical judgment in rational agency illustrated by the problem of information privacy and surveillance in the networked society. The value grounds and socio-technological solutions for securing trustworthiness of computing are analyzed. Privacy issues clearly show the need for computing professionals to contribute to understanding of the technological mechanisms of Information and Communication Technology.

    The main original contribution of this thesis is the unified dual-aspect theory of computation/information. Semantics of information is seen as a part of the data-information-knowledge structuring, in which complex structures are self-organized by the computational processing of information. Within the unified model, complexity is a result of computational processes on informational structures. The thesis argues for the necessity of computing beyond the Turing-Church limit, motivated by natural computation, and wider by pancomputationalism and paninformationalism, seen as two complementary views of the same physical reality. Moreover, it follows that pancomputationalism does not depend on the assumption that the physical world on some basic level is digital. Contrary to many believes it is entirely compatible with dual (analogue/digital) quantum-mechanical computing.

  • 42.
    Dodig-Crnkovic, Gordana
    Mälardalen University, Department of Computer Science and Electronics.
    Knowledge as Computation in vivo: Semantics vs. Pragmatics as Truth vs. Meaning2006In: Proceedings from computers & philosophy,, 2006, p. 202-215Conference paper (Refereed)
    Abstract [en]

    Abstract. Following the worldwide increase in communications through computer networking, not only economies, entertainment, and arts but also research and education are transforming into global systems. Attempts to automate knowledge discovery and enable the communication between computerized knowledge bases encounter the problem of the incompatibility of syntactically identical expressions of different semantic and pragmatic provenance. Coming from different universes, terms with the same spelling may have a continuum of meanings. The formalization problem is related to the characteristics of the natural language semantic continuum. The human brain has through its evolution developed the capability to communicate via natural languages. We need computers able to communicate in similar, more flexible ways, which calls for a new and broader understanding far beyond the limits of formal axiomatic reasoning that characterize the Turing machine paradigm. This paper arguments for the need of a new approach to the ideas of truth and meaning based on logical pluralism, as a consequence of the new interactive understanding of computing, that necessitates going far beyond Turing limit.

  • 43.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering.
    Knowledge Generation as Natural Computation2008In: Journal of Systemics, Cybernetics and Informatics, ISSN 1690-4524, E-ISSN 1690-4524, Vol. 6, no 2, p. 12-16Article in journal (Refereed)
    Abstract [en]

    Knowledge generation can be naturalized by adopting computational model of cognition and evolutionary approach. In this framework knowledge is seen as a result of the structuring of input data (data ¨ information ¨ knowledge) by an interactive computational process going on in the agent during the adaptive interplay with the environment, which clearly presents developmental advantage by increasing agentfs ability to cope with the situation dynamics. This paper addresses the mechanism of knowledge generation, a process that may be modeled as natural computation in order to be better understood and improved.

  • 44.
    Dodig-Crnkovic, Gordana
    Mälardalen University, Department of Computer Science and Electronics.
    Knowledge Generation as Natural Computation2007In: WMSCI 2007 - The 11th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 13th International Conference on Information Systems Analysis and Synthesis, ISAS 2007 - Proc., 2007, p. 240-244Conference paper (Refereed)
    Abstract [en]

    Knowledge generation can be naturalized by adopting computational model of cognition and evolutionary approach. In this framework knowledgeis seen as a result of the structuring of input data (data -> information -> knowledge) by an interactive computational process going on in the agent during the adaptive interplay with the environment, which clearly presents developmental advantage by increasing agent's ability to cope with the situation dynamics. This paper addresses the mechanism of knowledge generation, a process that may be modeled as natural computation in order to be better understood and improved.

  • 45.
    Dodig-Crnkovic, Gordana
    Chalmers University of Technology, Gothenburg, Sweden.
    Laws of Science and Laws of Nature in an Evolutionary Knowledge Ecology2019In: Understanding the Nature of Science / [ed] Patrik Lindholm, United States: NOVA , 2019Chapter in book (Other academic)
    Abstract [en]

    This chapter presents an evolutionary ecological approach in which human knowledge is studied as the ecology of interacting datainformation-knowledge systems developing in time as a consequence of incessant learning from interactions with the environment on a variety of levels of organization. Within the framework of evolving knowledge ecology, we address Laws of Nature and how they relate to Laws of Science with examples of taxonomies as open-ended relation-based Laws of Science. Dynamical processes in the ecology of knowledge are observed in real/actual time as well as in evolutionary time. The creative nature of sciences is found in its generative principles, mutual interactions between sciences and in their interactions with other knowledge fields. As an illustration of an interdisciplinary knowledge production approach, an info-computational framework is presented with the unconventional notion of computation as natural information processing.

  • 46.
    Dodig-Crnkovic, Gordana
    Mälardalen University, Department of Computer Science and Electronics.
    Model Validity and Semantics of Information2006Conference paper (Refereed)
  • 47.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering. Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Modeling life as cognitive info-computation2014In: 10th Conference on Computability in Europe, CiE 2014, 2014, p. 153-162Conference paper (Refereed)
    Abstract [en]

    This article presents a naturalist approach to cognition understood as a network of info-computational, autopoietic processes in living systems. It provides a conceptual framework for the unified view of cognition as evolved from the simplest to the most complex organisms, based on new empirical and theoretical results. It addresses three fundamental questions: what cognition is, how cognition works and what cognition does at different levels of complexity of living organisms. By explicating the info-computational character of cognition, its evolution, agent-dependency and generative mechanisms we can better understand its life-sustaining and life-propagating role. The info-computational approach contributes to rethinking cognition as a process of natural computation in living beings that can be applied for cognitive computation in artificial systems.

  • 48.
    Dodig-Crnkovic, Gordana
    Chalmers University of Technology, Sweden.
    Morphological computing as reality construction for a cognizing agent2016In: 12th Swedish cognitive science society conference Swecog16, Gothenburg, Sweden: Swedish Society for Cognitive Science , 2016Conference paper (Refereed)
    Abstract [en]

    In this talk I gave a short account of my view of the process of reality construction in cognitive agent through morphological computation, within the framework of info-computational constructivism as generative modelling scheme (Dodig-Crnkovic 2014a, 2014b, 2016). Cognition in this framework is capacity possessed in different forms and degrees of complexity by every living organism. It is entirety of processes going on in an organism that keeps it alive, and present as a distinct agent in the world. Even a single cell while alive constantly cognizes, that is registers inputs from the world and its own body, ensures its own continuous existence through metabolism and food hunting while avoiding dangers that could cause its disintegration or damage, at the same time adapting its own morphology to the environmental constraints. The entirety of physicochemical processes depends on the morphology of the organism, where morphology is meant as the form and structure. The essential property of morphological computing is that it is defined on a structure of nodes (agents) that exchange (communication) of information. Unicellular organisms such as bacteria communicate and build swarms or films with far more advanced capabilities compared to individual organisms, through social (distributed) cognition. In general, groups of smaller organisms (cells) in nature cluster into bigger ones (multicellular assemblies) with differentiated control mechanisms from the cell level to the tissue, organ, organism and groups of organisms, and this layered organization provides information processing benefits.

  • 49.
    Dodig-Crnkovic, Gordana
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Morphological computing as self-organisation of a cognizing intelligent agent2016Other (Other academic)
  • 50.
    Dodig-Crnkovic, Gordana
    Chalmers, Gothenburg, Sweden.
    Morphologically Computing Embodied Cognition2017In: Philosophy and Theory of Artificial Intelligence PT-AI, Oxford, United Kingdom, 2017Conference paper (Refereed)
    Abstract [en]

    IN THE CLASSICAL VIEW, Cognitive science is considered to be the study of (HUMAN) mind and intelligence (Stanford Encyclopedia of Philosophy). NATURALISED cognition MODELLED AS INFORMATION processing in cognizing agents at variety of levels of organisation, FROM THE FUNCTIONS OF SINGLE CELLS TO ORGANISMS, SOCIETIES AND CULTURES, GIVES A BROADER FRAMEWORK FOR UNDERSTANDING OF COGNITION AND REMOVES PARADOXES OF THE CLASSICAL VIEW. NATURALISED COGNITION IS emerging through THE evolution of organisms in interaction with the environment THAT IS INCLUDING OTHER ORGANISMS THROUGH PROCESSES OF MORPHOLOGICAL computation ON SUCCSESSION OF LEVELS OF ORGANISATION .

123 1 - 50 of 114
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