How the Body Shapes the Way We Think A New View of Intelligence

ISBN-10: 0262162393

ISBN-13: 9780262162395

Edition: 2006

List price: $53.00
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Description:

How could the body influence our thinking when it seems obvious that the brain controls the body? In How the Body Shapes the Way We Think, Rolf Pfeifer and Josh Bongard demonstrate that thought is not independent of the body but is tightly constrained, and at the same time enabled, by it. They argue that the kinds of thoughts we are capable of have their foundation in our embodiment--in our morphology and the material properties of our bodies. This crucial notion of embodiment underlies fundamental changes in the field of artificial intelligence over the past two decades, and Pfeifer and Bongard use the basic methodology of artificial intelligence--"understanding by building"--to describe their insights. If we understand how to design and build intelligent systems, they reason, we will better understand intelligence in general. In accessible, nontechnical language, and using many examples, they introduce the basic concepts by building on recent developments in robotics, biology, neuroscience, and psychology to outline a possible theory of intelligence. They illustrate applications of such a theory in ubiquitous computing, business and management, and the psychology of human memory. Embodied intelligence, as described by Pfeifer and Bongard, has important implications for our understanding of both natural and artificial intelligence.
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Book details

List price: $53.00
Copyright year: 2006
Publisher: MIT Press
Publication date: 10/27/2006
Binding: Hardcover
Pages: 424
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 1.518
Language: English

Rolf Pfeifer is Professor of Computer Science and Director of the Artificial Intelligence Laboratory in the Department of Informatics at the University of Zurich. He is the author of Understanding Intelligence (MIT Press, 1999).

Rodney Brooks is Director of the MIT Artificial Intelligence Laboratory, & Fujitsu Professor of Computer Science. He is also Chairman & Chief Technical Officer of iRobot Corp. (Formerly IS Robotics). He was a research scientist at Carnegie Mellon University & at the Artificial Intelligence Laboratory of MIT before joining the Computer Science faculty of Stanford in 1983 & the MIT faculty in 1984. He was a founder of Lucid, Inc. He is also a Founding Fellow of the American Association for Artificial Intelligence (AAAI) & a Fellow of the American Association for the Advancement of Science (AAAS). He was co-founding editor of the International Journal of Computer Vision & is a member of the editorial boards of various journals, He is a member of the Brain & Cognitive Science Board of MIT Press. His books include Model Based Computer Vision (1984), Programming in Common Lisp (1985).

Foreword
Preface
Intelligence, Artificial Intelligence, Embodiment, and What the Book Is About
Intelligence, Thinking, and Artificial Intelligence
Thinking, Cognition, and Intelligence
The Mystery of Intelligence
Defining Intelligence
Artificial Intelligence
Embodiment and Its Implications
Summary
Artificial Intelligence: The Landscape
Successes of the Classical Approach
Problems of the Classical Approach
The Embodied Turn
The Role of Neuroscience
Diversification
Biorobotics
Developmental Robotics
Ubiquitous Computing and Interfacing Technology
Artificial Life and Multiagent Systems
Evolutionary Robotics
Summary
Toward a Theory of Intelligence
Prerequisites for a Theory of Intelligence
Level of Generality and Form of Theory
Diversity-Compliance
Frame of Reference
The Synthetic Methodology
Time Perspectives
Emergence
Summary
Intelligent Systems: Properties and Principles
Real Worlds and Virtual Worlds
Properties of Complete Agents
Agent Design Principle 1: The Three-Constituents Principle
Agent Design Principle 2: The Complete-Agent Principle
Agent Design Principle 3: Cheap Design
Agent Design Principle 4: Redundancy
Agent Design Principle 5: Sensory-Motor Coordination
Agent Design Principle 6: Ecological Balance
Agent Design Principle 7: Parallel, Loosely Coupled Processes
Agent Design Principle 8: Value
Summary and Conclusions
Development: From Locomotion to Cognition
Motivation
Toward Developmental Robot Design
From Locomotion to Cognition: A Case Study
From Gait Patterns to Body Image to Cognition
The Symbol Grounding Problem
Matching Brain and Body Dynamics
Broadening the Scope: Other Aspects of Development
Learning in Embodied Systems
Social Interaction
Development: Where Are We and Where Do We Go from Here?
Summary: Design Principles for Developmental Systems
Evolution: Cognition from Scratch
Motivation
The Basics of Evolutionary Computation
The Origins of Evolutionary Computation
Artificial Evolution in the Real World: On Pipes, Antennas, and Electronic Circuits
Evolutionary Robotics
Evolving Morphology and Control
Genetic Regulatory Networks and Developmental Plasticity
Self-Organization: The Powerful Ally of Mutation and Selection
Artificial Evolution: Where Are We and Where Do We Go from Here?
Summary: Design Principles for Evolutionary Systems
Collective Intelligence: Cognition from Interaction
Motivation
Agent-Based Modeling
Simulation versus Real Robots
Groups of Robots
A Note on Cooperation
Modular Robots
Scalability, Self-Assembly, Self-Repair, Homogeneity, and Heterogeneity
Self-Reproducing Machines
Collective Intelligence: Where Are We and Where Do We Go from Here?
Summary: Design Principles for Collective Systems
Applications and Case Studies
Ubiquitous Computing and Interfacing Technology
Ubiquitous Technology as Scaffolding
Ubiquitous Technology: Properties and Principles
Interacting with Ubiquitous Technology
Cyborgs
Summary and Conclusions
Building Intelligent Companies
Management and Entrepreneurship: Decision and Action under Uncertainty
Companies as Embodied Systems
A Synthetic Approach to Management
Design Principles for Building Intelligent Companies
Corroborating the Speculations
Summary and Conclusions
Where Is Human Memory?
Introduction
The Storehouse Metaphor and Its Problems
Concepts of Memory
The Frame-of-Reference Problem in Memory Research: Ashby's Proposal
The Embodied View of Memory: Applying the Design Principles for Intelligent Systems
Implications for Memory Research: Summary and Speculations
Robotic Technology in Everyday Life
Introduction: Everyday Robots
Vacuum Cleaners: Roomba, Trilobite, and Similar Species
Entertainment Robots
Therapeutic, Medical, and Rescue Robots
Humanoid Companion Robots
Robots Capable of Social Communication
Robots Capable of Facial and Bodily Expression
A Theoretical Note
Summary and Conclusions
Principles and Insights
How the Body Shapes the Way We Think
Steps Toward a Theory of Intelligence
Selected Highlights
Seeing Things Differently
Epilogue
Notes
References
Index
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