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Intelligent Behavior In Animals And Robots
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Book Synopsis Intelligent Behavior in Animals and Robots by : David McFarland
Download or read book Intelligent Behavior in Animals and Robots written by David McFarland and published by MIT Press. This book was released on 1993 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Behavior-based Robotics by : Ronald C. Arkin
Download or read book Behavior-based Robotics written by Ronald C. Arkin and published by MIT Press. This book was released on 1998 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foreword by Michael Arbib This introduction to the principles, design, and practice of intelligent behavior-based autonomous robotic systems is the first true survey of this robotics field. The author presents the tools and techniques central to the development of this class of systems in a clear and thorough manner. Following a discussion of the relevant biological and psychological models of behavior, he covers the use of knowledge and learning in autonomous robots, behavior-based and hybrid robot architectures, modular perception, robot colonies, and future trends in robot intelligence. The text throughout refers to actual implemented robots and includes many pictures and descriptions of hardware, making it clear that these are not abstract simulations, but real machines capable of perception, cognition, and action.
Book Synopsis From Animals to Animats 3 by : Dave Cliff
Download or read book From Animals to Animats 3 written by Dave Cliff and published by MIT Press. This book was released on 1994 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Robot Shaping written by Marco Dorigo and published by MIT Press. This book was released on 1998 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: foreword by Lashon Booker To program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned. Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy,"and dynamic population size. In the book they present Behavior Analysis and Training (BAT) as an example of a behavior engineering methodology.
Book Synopsis The Developmental Organization of Robot Behavior by : Roderic A. Grupen
Download or read book The Developmental Organization of Robot Behavior written by Roderic A. Grupen and published by MIT Press. This book was released on 2023-03-14 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the mathematical foundations of movement and actuation that apply equally to animals and machines. This textbook offers a computational framework for the sensorimotor stage of development as applied to robotics. Much work in developmental robotics is based on ad hoc examples, without a full computational basis. This book's comprehensive and complete treatment fills the gap, drawing on the principal mechanisms of development in the first year of life to introduce what is essentially an operating system for developing robots. The goal is to apply principles of development to robot systems that not only achieve new levels of performance but also provide evidence for scientific theories of human development.
Book Synopsis Springer Handbook of Robotics by : Bruno Siciliano
Download or read book Springer Handbook of Robotics written by Bruno Siciliano and published by Springer Science & Business Media. This book was released on 2008-05-20 with total page 1626 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the science of robotics undergoing a major transformation just now, Springer’s new, authoritative handbook on the subject couldn’t have come at a better time. Having broken free from its origins in industry, robotics has been rapidly expanding into the challenging terrain of unstructured environments. Unlike other handbooks that focus on industrial applications, the Springer Handbook of Robotics incorporates these new developments. Just like all Springer Handbooks, it is utterly comprehensive, edited by internationally renowned experts, and replete with contributions from leading researchers from around the world. The handbook is an ideal resource for robotics experts but also for people new to this expanding field.
Download or read book From Animals to Animats 6 written by and published by Fordham Univ Press. This book was released on 2000 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Animals to Animats Conference brings together researchers from ethology,psychology, ecology, artificial intelligence, artificial life, robotics, engineering, and relatedfields to further understanding of the behaviors and underlying mechanisms that allow natural andsynthetic agents (animats) to adapt and survive in uncertain environments. The work presentedfocuses on well-defined models--robotic, computer-simulation, and mathematical--that help tocharacterize and compare various organizational principles or architectures underlying adaptivebehavior in both natural animals and animats.
Book Synopsis Intelligence as Adaptive Behavior by : B. Chandrasekaran
Download or read book Intelligence as Adaptive Behavior written by B. Chandrasekaran and published by Academic Press. This book was released on 2013-10-22 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Understanding Intelligence by : Rolf Pfeifer
Download or read book Understanding Intelligence written by Rolf Pfeifer and published by MIT Press. This book was released on 2001-07-27 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run "programs"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behavior—thus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, "new AI," and "behavior-based AI." This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building. The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science.
Book Synopsis Artificial Intelligence by : Ronald Chrisley
Download or read book Artificial Intelligence written by Ronald Chrisley and published by Taylor & Francis. This book was released on 2000 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Robot Colonies written by Ronald C. Arkin and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robots in groups or colonies can exhibit an enormous variety and richness of behaviors which cannot be observed with singly autonomous systems. Of course, this is analogous to the amazing variety of group animal behaviors which can be observed in nature. In recent years more and more investigators have started to study these behaviors. The studies range from classifications and taxonomies of behaviors, to development of architectures which cause such group activities as flocking or swarming, and from emphasis on the role of intelligent agents in such groups to studies of learning and obstacle avoidance. There used to be a time when many robotics researchers would question those who were interested in working with teams of robots: `Why are you worried about robotic teams when it's hard enough to just get one to work?'. This issue responds to that question. Robot Colonies provides a new approach to task problem-solving that is similar in many ways to distributed computing. Multiagent robotic teams offer the possibility of spatially distributed parallel and concurrent perception and action. A paradigm shift results when using multiple robots, providing a different perspective on how to carry out complex tasks. New issues such as interagent communications, spatial task distribution, heterogeneous or homogeneous societies, and interference management are now central to achieving coordinated and productive activity within a colony. Fortunately mobile robot hardware has evolved sufficiently in terms of both cost and robustness to enable these issues to be studied on actual robots and not merely in simulation. Robot Colonies presents a sampling of the research in this field. While capturing a reasonable representation of the most important work within this area, its objective is not to be a comprehensive survey, but rather to stimulate new research by exposing readers to the principles of robot group behaviors, architectures and theories. Robot Colonies is an edited volume of peer-reviewed original research comprising eight invited contributions by leading researchers. This research work has also been published as a special issue of Autonomous Robots (Volume 4, Number 1).
Book Synopsis Prerational Intelligence by : Holk Cruse
Download or read book Prerational Intelligence written by Holk Cruse and published by Springer Science & Business Media. This book was released on 2000 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 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 by : Holk Cruse
Download or read book 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 written by Holk Cruse and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 1585 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis From Animals to Animates 4 by : Pattie Maes
Download or read book From Animals to Animates 4 written by Pattie Maes and published by . This book was released on 1996-08 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: September 9th-13th, 1996, Cape Cod, Massachusetts From Animals to Animats 4 brings together the latest research at the frontier 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 66 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. Major topics, all from the perspective of adaptive behavior, include: The Animat Approach to Adaptive Behavior, Perception and Motor Control, Action Selection and Behavioral Sequences, Internal World Models and Navigation, Motivation and Emotions, Learning, Evolution, Coevolution, Collective Behavior.
Book Synopsis Distributed Autonomous Robotic Systems 2 by : Hajime Asama
Download or read book Distributed Autonomous Robotic Systems 2 written by Hajime Asama and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Great interest is now focused on distributed autonomous robotic systems (DARS) as a new strategy for the realization of flexible, robust, and intelligent robots. Inspired by autonomous, decentralized, and self-organizing biological systems, the field of DARS encompasses broad interdisciplinary technologies related not only to robotics and computer engineering but also to biology and psychology. The rapidly growing interest in this new area of research was manifest in the first volume of Distributed Autonomous Robotic Systems, published in 1994. This second volume in the series presents the most recent work by eminent researchers and includes such topics as multirobot control, distributed robotic systems design, self-organizing systems, and sensing and navigation for cooperative robots. Distributed Autonomous Robotic Systems 2 is a valuable source for those whose work involves robotics and will be of great interest to those in the fields of artificial intelligence, self-organizing systems, artificial life, and computer science.
Book Synopsis The Biology and Technology of Intelligent Autonomous Agents by : Luc Steels
Download or read book The Biology and Technology of Intelligent Autonomous Agents written by Luc Steels and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: The NATO sponsored Advanced Study Institute 'The Biology and Tech nology of Intelligent Autonomous Agents' was an extraordinary event. For two weeks it brought together the leading proponents of the new behavior oriented approach to Artificial Intelligence in Castel Ivano near Trento. The goal of the meeting was to establish a solid scientific and technological foun dation for the field of intelligent autonomous agents with a bias towards the new methodologies and techniques that have recently been developed in Ar tificial Intelligence under the strong influence of biology. Major themes of the conference were: bottom-up AI research, artificial life, neural networks and techniques of emergent functionality. The meeting was such an extraordinary event because it not only featured very high quality lectures on autonomous agents and the various fields feeding it, but also robot laboratories which were set up by the MIT AI laboratory (with a lab led by Rodney Brooks) and the VUB AI laboratory (with labs led by Tim Smithers and Luc Steels). This way the participants could also gain practical experience and discuss in concreto what the difficulties and achievements were of different approaches. In fact, the meeting has been such a success that a follow up meeting is planned for September 1995 in Monte Verita (Switzerland). This meeting is organised by Rolf Pfeifer (University of Zurich).
Book Synopsis Multiagent Robotic Systems by : Jiming Liu
Download or read book Multiagent Robotic Systems written by Jiming Liu and published by CRC Press. This book was released on 2018-10-08 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a guided tour of the pioneering work and major technical issues, Multiagent Robotic Systems addresses learning and adaptation in decentralized autonomous robots. Its systematic examination demonstrates the interrelationships between the autonomy of individual robots and the emerged global behavior properties of a group performing a cooperative task. The author also includes descriptions of the essential building blocks of the architecture of autonomous mobile robots with respect to their requirement on local behavioral conditioning and group behavioral evolution. After reading this book you will be able to fully appreciate the strengths and usefulness of various approaches in the development and application of multiagent robotic systems. It covers: Why and how to develop and experimentally test the computational mechanisms for learning and evolving sensory-motor control behaviors in autonomous robots How to design and develop evolutionary algorithm-based group behavioral learning mechanisms for the optimal emergence of group behaviors How to enable group robots to converge to a finite number of desirable task states through group learning What are the effects of the local learning mechanisms on the emergent global behaviors How to use decentralized, self-organizing autonomous robots to perform cooperative tasks in an unknown environment Earlier works have focused primarily on how to navigate in a spatially unknown environment, given certain predefined motion behaviors. What is missing, however, is an in-depth look at the important issues on how to effectively obtain such behaviors in group robots and how to enable behavioral learning and adaptation at the group level. Multiagent Robotic Systems examines the key methodological issues and gives you an understanding of the underlying computational models and techniques for multiagent systems.
