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"A much-needed synthesis of active inference, a theory of mind that addresses cognition, behavior, intelligence, & mental disorders and which can be extended to explain behavior in all living systems"--
Neurosciences --- Philosophy of mind --- Active Inference --- free energy --- predictive coding --- Bayesian inference --- predictive processing --- planning as inference --- active sensing --- hypothesis testing --- behavior --- theoretical neurobiology --- brain --- computational neuroscience --- perception --- planning --- action --- control. --- Perception. --- Inference. --- Neurobiology. --- Human behavior models. --- Knowledge, Theory of. --- Bayesian statistical decision theory. --- SCIENCE / Life Sciences / Neuroscience --- PSYCHOLOGY / Cognitive Neuroscience & Cognitive Neuropsychology --- PHILOSOPHY / Mind & Body --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Epistemology --- Theory of knowledge --- Philosophy --- Psychology --- Behavioral modeling --- Behavioral models --- Modeling human behavior --- Models of behavior --- Ampliative induction --- Induction, Ampliative --- Inference (Logic) --- Reasoning --- Supraliminal perception --- Cognition --- Apperception --- Senses and sensation --- Thought and thinking --- Methodology
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This book proposes a unifying approach for the analysis and design of artificial cognitive systems: The Anticipatory Approach. In 11 coherent chapters, the authors of this State-of-the-Art Survey propose a foundational view of the importance of dealing with the future, of gaining some autonomy from current environmental data, and of endogenously generating sensorimotor and abstract representations. A meaningful taxonomy for anticipatory cognitive mechanisms is put forward, which distinguishes between the types of predictions and the different influences of these predictions on actual behavior and learning. Thus a new unifying perspective on cognitive systems is given. The Anticipatory Approach described in this book will not only aid in the analysis of cognitive systems, but will also serve as an inspiration and guideline for the progressively more advanced and competent design of large, but modular, artificial cognitive systems.
Expectation (Psychology) --- Cognitive learning theory --- Cognitive neuroscience --- Brain --- Computer Science --- Mechanical Engineering - General --- Neuroscience --- Engineering & Applied Sciences --- Mechanical Engineering --- Human Anatomy & Physiology --- Health & Biological Sciences --- Mathematical models --- Information Technology --- Artificial Intelligence --- Artificial intelligence. --- Cognitive neuroscience. --- Conscious automata. --- Prediction (Logic) --- System design. --- Design, System --- Systems design --- Conjecture --- Artificial consciousness --- Electronic brains --- Intelligent machines --- Mechanical brains --- Synthetic consciousness --- Cognitive neuropsychology --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Machine intelligence --- Thinking, Artificial --- Computer science. --- Computer programming. --- Mathematical statistics. --- Computers. --- User interfaces (Computer systems). --- Computer simulation. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Programming Techniques. --- Simulation and Modeling. --- Models and Principles. --- Probability and Statistics in Computer Science. --- User Interfaces and Human Computer Interaction. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Model-integrated computing --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Informatics --- Science --- Statistical methods --- Programming --- System analysis --- Judgment (Logic) --- Consciousness --- Biocomputers --- Perceptrons --- Neuropsychology --- Artificial Intelligence. --- Mathematical models. --- Cognitive theory of learning --- Learning, Psychology of --- Motivation (Psychology) --- Models --- User interfaces (Computer systems)
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Anticipatory behavior in adaptive learning systems continues to attract the attention of researchers in many areas, including cognitive systems, neuroscience, psychology, and machine learning. This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, held in Munich, Germany, in June 2008, in collaboration with 5th the six-monthly meeting of euCognition, 'The Role of Anticipation in Cognition'. The 18 revised full papers presented were carefully selected during two rounds of reviewing and improvement for inclusion in the book. The introductory chapter of this state-of-the-art survey not only provides an overview of the contributions included in this volume but also discusses the current various terminology employed in the field and relates it to the various system approaches. The papers are organized in topical sections on anticipation in psychology with a focus on the ideomotor view; theoretical and review contributions; anticipation and dynamical systems; computational modeling of psychological processes in the individual and social domains; behavioral and cognitive capabilities based on anticipation; and computational frameworks and algorithms for anticipation, and their evaluation.
Machine learning --- Cognitive learning theory --- Computer Science --- Mechanical Engineering - General --- Engineering & Applied Sciences --- Mechanical Engineering --- Information Technology --- Artificial Intelligence --- Artificial intelligence. --- Machine learning. --- Learning, Machine --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Engineering. --- Computers. --- Algorithms. --- Application software. --- Computers and civilization. --- Robotics. --- Automation. --- Robotics and Automation. --- Artificial Intelligence (incl. Robotics). --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Computer Appl. in Social and Behavioral Sciences. --- Computers and Society. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Civilization and computers --- Civilization --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Construction --- Industrial arts --- Technology --- Foundations --- Artificial intelligence --- Computer science. --- Computer software. --- Social sciences --- Artificial Intelligence. --- Data processing. --- Software, Computer --- Informatics --- Science
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