MIT Press
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.
Pfeifer / Scheier
Understanding Intelligence jetzt bestellen!
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.
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