Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control behaviour and ensure survival. Researchers agree that intelligence always manifests itself in behaviour - thus it is behaviour that must be understood. A new field has grown around the study of behaviour-based intelligence, also known as embodied cognitive science, "new AI" and "behaviour-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 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 text includes the background material required to understand the principles underlying intelligence, as well as information of 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.
Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control behaviour and ensure survival. Researchers agree that intelligence always manifests itself in behaviour - thus it is behaviour that must be understood. A new field has grown around the study of behaviour-based intelligence, also known as embodied cognitive science, "new AI" and "behaviour-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 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 text includes the background material required to understand the principles underlying intelligence, as well as information of 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.
""Understanding Intelligence" is a comprehensive and highly
readable introduction to embodied cognitive science. It will be
particularly helpful for people interested in getting involved in
the construction of intelligent agents."--Arthur B. Markman,
"Science"
"People trained in classical AI will find this book an articulate
and thought-provoking challenge to much that they have taken for
granted. People new to cognitive science will find it a stimulating
introduction to one of the field's most productive controversies.
Pfeifer and Scheier deserve our thanks for a thorough, assessible,
and courteous contribution in the best tradition of scholarly
debate."--H. Van Dyke, "Computing Reviews"
& quot; People trained in classical AI will find this book an
articulate and thought-provoking challenge to much that they have
taken for granted. People new to cognitive science will find it a
stimulating introduction to one of the field's most productive
controversies. Pfeifer and Scheier deserve our thanks for a
thorough, assessible, and courteous contribution in the best
tradition of scholarly debate.& quot; -- H. Van Dyke, Computing
Reviews
& quot; Understanding Intelligence is a comprehensive and highly
readable introduction to embodied cognitive science. It will be
particularly helpful for people interested in getting involved in
the construction of intelligent agents.& quot; -- Arthur B.
Markman, Science
" "Understanding Intelligence" is a comprehensive and highly
readable introduction to embodied cognitive science. It will be
particularly helpful for people interested in getting involved in
the construction of intelligent agents." -- Arthur B. Markman,
"Science"
" People trained in classical AI will find this book an articulate
and thought-provoking challenge to much that they have taken for
granted. People new to cognitive science will find it a stimulating
introduction to one of the field's most productive controversies.
Pfeifer and Scheier deserve our thanks for a thorough, assessible,
and courteous contribution in the best tradition of scholarly
debate." -- H. Van Dyke, "Computing Reviews"
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