Understanding intelligence /

"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....

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Pfeifer, Rolf, 1947-
Άλλοι συγγραφείς: Scheier, Christian
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cambridge, Mass. : MIT Press, �1999.
Θέματα:
Διαθέσιμο Online:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=12549
Πίνακας περιεχομένων:
  • The Study of Intelligence--Foundations and Issues
  • The Study of Intelligence
  • Characterizing Intelligence
  • Studying Intelligence: The Synthetic Approach
  • Foundations of Classical Artificial Intelligence and Cognitive Science
  • Cognitive Science: Preliminaries
  • The Cognitivistic Paradigm
  • An Architecture for an Intelligent Agent
  • The Fundamental Problems of Classical Al and Cognitive Science
  • Real Worlds versus Virtual Worlds
  • Some Well-Known Problems with Classical Systems
  • The Fundamental Problems of Classical Al
  • Remedies and Alternatives
  • A Framework for Embodied Cognitive Science
  • Embodied Cognitive Science: Basic Concepts
  • Complete Autonomous Agents
  • Biological and Artificial Agents
  • Designing for Emergence--Logic-Based and Embodied Systems
  • Explaining Behavior
  • Neural Networks for Adaptive Behavior
  • From Biological to Artificial Neural Networks
  • The Four or Five Basics
  • Distributed Adaptive Control
  • Types of Neural Networks
  • Beyond Information Processing: A Polemic Digression
  • Approaches and Agent Examples
  • Braitenberg Vehicles
  • Motivation
  • The Fourteen Vehicles
  • Segmentation of Behavior and the Extended Braitenberg Architecture
  • The Subsumption Architecture
  • Behavior-Based Robotics
  • Designing a Subsumption-Based Robot
  • Examples of Subsumption-Based Architectures
  • Conclusions: The Subsumption Approach to Designing Intelligent Systems
  • Artificial Evolution and Artificial Life.