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Cognitive Robotics and Adaptive Behaviors

Author: Maki K. Habib

Publisher: Intechopen

Published: 2022-12

Total Pages: 0

ISBN-13: 9781803553870

The development and use of robotics is affecting all aspects of modern life. There is a demand not only for robots that can move, interact, learn, and act in real-time dynamic and unconstrained environments but also for those that can interact smoothly and safely with the actions and movements of people within the same environments. In addition to managing complex motor coordination, these robots also require the ability to acquire and represent knowledge, deal with uncertainty at different operational levels, learn, reason, adapt, and have the autonomy to make intelligent decisions and act upon them. They should be able to learn from interaction, anticipate the outcomes of actions, acquire experiences and use them as required for future activities. Cognitive robotics is the interdisciplinary term used to describe robots that merge all these features and capabilities in their hardware and software architectures.

Behavioral and Cognitive Robotics: An adaptive perspective

Author: Stefano Nolfi

Publisher: Stefano Nolfi

Published: 2021-01-15

Total Pages: 275

ISBN-13:

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This book describes how to create robots capable to develop the behavioral and cognitive skills required to perform a task through machine learning methods. It focuses on model-free approaches with minimal human intervention in which the behavior used by the robots to solve their task and the way in which such behavior is produced is discovered by the adaptive process automatically, i.e. it is not specified by the experimenter. The book, which is targeted toward researchers, PhD and Master students with an interest in machine learning and robotics: (i) introduces autonomous robots, evolutionary algorithms, reinforcement learning algorithms, and learning by demonstration methods, (ii) uses concrete experiments to illustrate the fundamental aspects of embodied intelligence, (iii) provides theoretical and practical knowledge, including tutorials and exercises, and (iv) provides an integrated review of recent research in this area carried within partially separated research communities.

Intelligence as Adaptive Behavior

Author: B. Chandrasekaran

Publisher: Academic Press

Published: 2013-10-22

Total Pages: 240

ISBN-13: 1483288129

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The "intelligence" of traditional artificial intelligence systems is notoriously narrow and inflexible--incapable of adapting to the constantly changing circumstances of the real world. Although traditional artificial intelligence systems can be successful in narrowly prescribed domains, they are inappropriate for dynamic, complex domains, such as autonomous robot navigation.**This book proposes an alternative methodology for designing intelligent systems based on a model of intelligence as adaptive behavior. The author describes an experiment in computational neuroethology--the computer modeling of neuronal control of behavior--in which the nervous system for an artificial insect is modeled. The experiment demonstrates that simple, complete intelligent agents are able to cope with complex, dynamic environments--suggesting that adaptive models of intelligence, based on biological bases of adaptive behavior, may prove to be very useful in the design of intelligent, autonomous systems. Provides a lucid critique of traditional artificial intelligence research programs Presents new methodology for the construction autonomous agents, which has implications for mobile robotics Of interest to researchers in a variety of fields: artificial intelligence, neural networks, robotics, cognitive science, and neuroscience

Cognitive Robotics

Author: Angelo Cangelosi

Publisher: MIT Press

Published: 2022-05-17

Total Pages: 497

ISBN-13: 0262046830

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The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. A novel approach to building AI-powered intelligent robots takes inspiration from the way natural cognitive systems—in humans, animals, and biological systems—develop intelligence by exploiting the full power of interactions between body and brain, the physical and social environment in which they live, and phylogenetic, developmental, and learning dynamics. This volume reports on the current state of the art in cognitive robotics, offering the first comprehensive coverage of building robots inspired by natural cognitive systems. Contributors first provide a systematic definition of cognitive robotics and a history of developments in the field. They describe in detail five main approaches: developmental, neuro, evolutionary, swarm, and soft robotics. They go on to consider methodologies and concepts, treating topics that include commonly used cognitive robotics platforms and robot simulators, biomimetic skin as an example of a hardware-based approach, machine-learning methods, and cognitive architecture. Finally, they cover the behavioral and cognitive capabilities of a variety of models, experiments, and applications, looking at issues that range from intrinsic motivation and perception to robot consciousness. Cognitive Robotics is aimed at an interdisciplinary audience, balancing technical details and examples for the computational reader with theoretical and experimental findings for the empirical scientist.

Intelligent Behavior in Animals and Robots

Author: David McFarland

Publisher: MIT Press

Published: 1993

Total Pages: 340

ISBN-13: 9780262132930

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This exciting study explores the novel insight, based on well-established ethological principles, that animals, humans, and autonomous robots can all be analyzed as multi-task autonomous control systems.

From Animals to Animats 8

Author: Stefan Schaal

Publisher: MIT Press

Published: 2004

Total Pages: 554

ISBN-13: 9780262693417

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New research on the adaptive behavior of natural and synthetic agents.

Comparative Approaches to Cognitive Science

Author: H. L. Roitblat

Publisher: MIT Press

Published: 1995

Total Pages: 552

ISBN-13: 9780262181662

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Presents an animal-based, largely non-symbolic approach to understanding the basic mechanisms involved in adaptive intelligence. Contributions discuss and explain concepts and techniques, providing a balance of both theoretical and empirical approaches.

Prerational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic , Volume 1, Volume 2 Prerational Intelligence: Interdisciplinary Perspectives on the Behavior of Natural and Artificial Systems, Volume 3

Author: Holk Cruse

Publisher: Springer Science & Business Media

Published: 2013-11-11

Total Pages: 1585

ISBN-13: 9401008701

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The present book is the product of conferences held in Bielefeld at the Center for interdisciplinary Sturlies (ZiF) in connection with a year-long ZiF Research Group with the theme "Prerational intelligence". The premise ex plored by the research group is that traditional notions of intelligent behav ior, which form the basis for much work in artificial intelligence and cog nitive science, presuppose many basic capabilities which are not trivial, as more recent work in robotics and neuroscience has shown, and that these capabilities may be best understood as ernerging from interaction and coop eration in systems of simple agents, elements that accept inputs from and act upon their surroundings. The main focus is on the way animals and artificial systems process in formation about their surroundings in order to move and act adaptively. The analysis of the collective properties of systems of interacting agents, how ever, is a problern that occurs repeatedly in many disciplines. Therefore, contributions from a wide variety of areas have been included in order to obtain a broad overview of phenomena that demoostrate complexity arising from simple interactions or can be described as adaptive behavior arising from the collective action of groups of agents. To this end we have invited contributions on topics ranging from the development of complex structures and functions in systems ranging from cellular automata, genetic codes, and neural connectivity to social behavior and evolution. Additional contribu tions discuss traditional concepts of intelligence and adaptive behavior. 1.

Cognitive Robotics

Author: Angelo Cangelosi

Publisher: MIT Press

Published: 2022-05-17

Total Pages: 497

ISBN-13: 0262369338

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From Animals to Animats 3

Author: Dave Cliff

Publisher: MIT Press

Published: 1994

Total Pages: 526

ISBN-13: 9780262531221

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August 8-12, 1994, Brighton, England From Animals to Animats 3 brings together research intended to advance the fron tier of an exciting new approach to understanding intelligence. The contributors represent a broad range of interests from artificial intelligence and robotics to ethology and the neurosciences. Unifying these approaches is the notion of "animat" -- an artificial animal, either simulated by a computer or embodied in a robot, which must survive and adapt in progressively more challenging environments. The 58 contributions focus particularly on well-defined models, computer simulations, and built robots in order to help characterize and compare various principles and architectures capable of inducing adaptive behavior in real or artificial animals. Topics include: - Individual and collective behavior. - Neural correlates of behavior. - Perception and motor control. - Motivation and emotion. - Action selection and behavioral sequences. - Ontogeny, learning, and evolution. - Internal world models and cognitive processes. - Applied adaptive behavior. - Autonomous robots. - Heirarchical and parallel organizations. - Emergent structures and behaviors. - Problem solving and planning. - Goal-directed behavior. - Neural networks and evolutionary computation. - Characterization of environments. A Bradford Book