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This is an unusual book. It launches a new style of research into the nature of the mind, a style that pro?ciently uncovers, explores and exploits the synergies between complex systems thinking, sophisticated theoretical critique, synthetic modeling technologies and experimental work. Rather than adopting a grandiose programmatic approach, Marieke Rohde presents us with a pragmatic conjunction of elements, each of them strongly feeding off the others and making it impossible to shelf her work strictly under any one rubric such as psychology, robotics, arti?cial intelligence or philosophy of mind. Perhaps the least unjust choice is to call this a work of new cognitive science. It is yesterday’s news to remark on how our conceptual framework for understanding c- plex systems is changing. There is a recognized need to supplement the scienti?c categories of mechanistic, XIX century thought for new ways of thinking about non-linear forms of interaction and inter-relation between events and processes at multiple scales. Since the times of cybernetics and in parallel to the development of the computer as a scienti?c tool, we have witnessed several proposals for “revolutionary” ways of dealing with complexity: catastrophe theory, general systems theory, chaos, self-organized criticality, complex n- works, etc. Despite not always ful?lling their stated potential, these ideas have helped us increase our capability to understand complex systems and have in general left us with new concepts, new tools and new ways of formulating questions. This conceptual change, however, has not been homogeneous.
Embodied and evolving systems — biological or robotic — are interacting networks of structure, function, information, and behavior. Understanding these complex systems is the goal of the research presented in this book. We address different questions and hypotheses about four essential topics in complex systems: evolvability, environments, embodiment, and emergence. Using a variety of approaches, we provide different perspectives on an overarching, unifying question: How can embodied and evolutionary robotics illuminate (1) principles underlying biological evolving systems and (2) general analytical frameworks for studying embodied evolving systems? The answer — model biological processes to operate, develop, and evolve situated, embodied robots.
Even before the deep learning revolution, the landscape of artificial intelligence (AI) was already changing drastically in the 90s. Embodied intelligence, it was proposed, must play a crucial role in the design of intelligent machines. This new wave was inspired by what is today known as Embodied and Enactive Cognitive Science or E-Cognition, which considers that cognitive activity does not reduce to the intellectual capacities of agents being able to represent their environments. E-cognition set AI and robotics in a new direction, in which intelligent machines are required to interact with the environment, and where this interaction does not reduce to explicit representations or prespecified algorithms. These ideas revolutionized the way we think about intelligent machines and cognition, but these theoretical advances are only partially reflected in modern approaches to AI and machine learning (ML). Despite deeply impressive achievements, AI/ML still struggles to recapitulate the kinds of intelligence we find in natural systems, whether we are considering individual insects (e.g. simultaneous localization and mapping), or swarm behaviour (e.g. forum sensing and ensemble inferences), and especially the kinds of flexibility and high-level reasoning characteristic of human cognition.
Introduction / John Stewart, Olivier Gapenne, Ezequiel Di Paolo -- Foundational issues in enaction as a paradigm for cognitive science : from the origin of life to consciousness and writing / John Stewart -- Horizons for the enactive mind : value, social interaction, and play / Ezequiel Di Paolo, Marieke Rohde and Hanneke De Jaegher -- Life and exteriority : the problem of metabolism / Renaud Barbaras -- Development through sensory-motor coordination / Adam Sheya and Linda B. Smith -- Enaction, sense-making and emotion / Giovanna Colombetti -- Thinking in movement / Maxine Sheets-Johnstone -- Kinesthesis and the construction of perceptual objects / Olivier Gapenne -- Directive minds : how dynamics shapes cognition / Andreas Engel -- Neurodynamics and phenomenology in mutual enlightenment : the example of the -- Epileptic aura / Michel Le Van Quyen -- Language and enation / Didier Bottineau -- Enacting infinity : bringing transfinite cardinals into being / Rafael E. Naaez -- The ontological constitution of cognition and the epistemological constitution of -- Cognitive science : phenomenology, enaction and technology / Varonique Havelange -- Embodiment or envatment? reflections on the bodily basis of consciousness / Diego Cosmelli and Evan Thompson -- Towards a phenomenological psychology of the conscious / Benny Shanon -- Enaction, imagination, and insight / Edwin Hutchins.
Embodied and evolving systems -- biological or robotic -- are interacting networks of structure, function, information, and behavior. Understanding these complex systems is the goal of the research presented in this book. We address different questions and hypotheses about four essential topics in complex systems: evolvability, environments, embodiment, and emergence. Using a variety of approaches, we provide different perspectives on an overarching, unifying question: How can embodied and evolutionary robotics illuminate (1) principles underlying biological evolving systems and (2) general analytical frameworks for studying embodied evolving systems? The answer -- model biological processes to operate, develop, and evolve situated, embodied robots.
A comprehensive presentation of an approach that proposes a new account of cognition at levels from the cellular to the social. This book presents the framework for a new, comprehensive approach to cognitive science. The proposed paradigm, enaction, offers an alternative to cognitive science's classical, first-generation Computational Theory of Mind (CTM). Enaction, first articulated by Varela, Thompson, and Rosch in The Embodied Mind (MIT Press, 1991), breaks from CTM's formalisms of information processing and symbolic representations to view cognition as grounded in the sensorimotor dynamics of the interactions between a living organism and its environment. A living organism enacts the world it lives in; its embodied action in the world constitutes its perception and thereby grounds its cognition. Enaction offers a range of perspectives on this exciting new approach to embodied cognitive science. Some chapters offer manifestos for the enaction paradigm; others address specific areas of research, including artificial intelligence, developmental psychology, neuroscience, language, phenomenology, and culture and cognition. Three themes emerge as testimony to the originality and specificity of enaction as a paradigm: the relation between first-person lived experience and third-person natural science; the ambition to provide an encompassing framework applicable at levels from the cell to society; and the difficulties of reflexivity. Taken together, the chapters offer nothing less than the framework for a far-reaching renewal of cognitive science. Contributors Renaud Barbaras, Didier Bottineau, Giovanna Colombetti, Diego Cosmelli, Hanne De Jaegher, Ezequiel A. Di Paolo. Andreas K. Engel, Olivier Gapenne, Véronique Havelange, Edwin Hutchins, Michel Le Van Quyen, Rafael E. Núñez, Marieke Rohde, Benny Shanon, Maxine Sheets-Johnstone, Adam Sheya, Linda B. Smith, John Stewart, Evan Thompson
An authoritative overview of current research in this exciting interdisciplinary field. Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both real and simulated autonomous robots. The Horizons of Evolutionary Robotics offers an authoritative overview of this rapidly developing field, presenting state-of-the-art research by leading scholars. The result is a lively, expansive survey that will be of interest to computer scientists, robotics engineers, neuroscientists, and philosophers. The contributors discuss incorporating principles from neuroscience into ER; dynamical analysis of evolved agents; constructing appropriate evolutionary pathways; spatial cognition; the coevolution of robot brains and bodies; group behavior; the evolution of communication; translating evolved behavior into design principles; the development of an evolutionary robotics–based methodology for shedding light on neural processes; an incremental approach to complex tasks; and the notion of “mindless intelligence”—complex processes from immune systems to social networks—as a way forward for artificial intelligence. Contributors Christos Ampatzis, Randall D. Beer, Josh Bongard, Joachim de Greeff, Ezequiel A. Di Paolo, Marco Dorigo, Dario Floreano, Inman Harvey, Sabine Hauert, Phil Husbands, Laurent Keller, Michail Maniadakis, Orazio Miglino, Sara Mitri, Renan Moioli, Stefano Nolfi, Michael O'Shea, Rainer W. Paine, Andy Philippides, Jordan B. Pollack, Michela Ponticorvo, Yoon-Sik Shim, Jun Tani, Vito Trianni, Elio Tuci, Patricia A. Vargas, Eric D. Vaughan
Scholars of religion have long assumed that ritual and belief constitute the fundamental building blocks of religious traditions and that these two components of religion are interrelated and interdependent in significant ways. Generations of New Testament and Early Christian scholars have produced detailed analyses of the belief systems of nascent Christian communities, including their ideological and political dimensions, but have by and large ignored ritual as an important element of early Christian religion and as a factor contributing to the rise and the organization of the movement. In recent years, however, scholars of early Christianity have begun to use ritual as an analytical tool for describing and explaining Christian origins and the early history of the movement. Such a development has created a momentum toward producing a more comprehensive volume on the ritual world of Early Christianity employing advances made in the field of ritual studies. The Oxford Handbook of Early Christian Ritual gives a manifold account of the ritual world of early Christianity from the beginning of the movement up to the end of the fifth century. The volume introduces relevant theories and approaches; central topics of ritual life in the cultural world of early Christianity; and important Christian ritual themes and practices in emerging Christian groups and factions.
Morpho-functional Machines are a set of tools for investigating the design of embodied intelligence in autonomous bio-artifact systems. The focus in Morpho-functional Machines is on the balance of morphology, materials, and control; intelligent behavior emerges from the interaction of an autonomous system with a real-world environment. How, then, should body morphology, body materials, and sensory systems be designed to achieve a certain set of tasks or desired behaviors in a particular environment? This and other questions were addressed at the International Workshop on Morpho-functional Machines held in Tokyo in 2001. Collected here are the revised papers from the workshop, providing a new perspective for understanding embodied intelligence. Presenting the innovative concept of Morpho-functional Machines, this book is a valuable source for scientists and engineers working in ethnology, cognitive sciences, robotic engineering, and artificial intelligence.
This collection brings together work on the relevance of Wittgenstein’s philosophy to the field of Artificial Intelligence (AI). Over two volumes, our contributors cover a wide range of topics from different disciplinary approaches. In this Volume (I), contributions are centred on two major themes in the philosophy of AI: questions of mind and language. Contributions include chapters on AI thought, intentionality, logic and language, as well as the relationship between Wittgenstein’s thought and Turing’s.