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Building Intelligent Agents

An Apprenticeship Multistrategy Learning Theory, Methodology, Tool and Case Studies

Paperback

Published: 7th July 1998
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Building Intelligent Agents is unique in its comprehensive coverage of the subject. The first part of the book presents an original theory for building intelligent agents and a methodology and tool that implement the theory. The second part of the book presents complex and detailed case studies of building different types of agents: an educational assessment agent, a statistical analysis assessment and support agent, an engineering design assistant, and a virtual military commander. Also featured in this book is "Disciple," a toolkit for building interactive agents which function in much the same way as a human apprentice. Disciple-based agents can reason both with incomplete information, but also with information that is potentially incorrect. This approach, in which the agent learns its behavior from its teacher, integrates many machine learning and knowledge acquisition techniques, taking advantage of their complementary strengths to compensate for each others weakness. As a consequence, it significantly reduces (or even eliminates) the involvement of a knowledge engineer in the process of building an intelligent agent.

Preface
Intelligent Agents
General Presentation of the Disciple Approach for Building Intelligent Agents
Knowledge Representation and Reasoning
Knowledge Acquisition and Learning. The Disciple Shell and Methodology
Case Study: Assessment Agent for Higher-Order Thinking Skills in History
Case Study: The Statistical Analysis Assessment and Support Agent
Case Study: Design Assistant for Configuring Computer Systems
Case Study: Virtual Agent for Distributed Interactive Simulations
Selected Bibliography of Machine Learning, Knowledge Acquisition, and Intelligent Agents Research
Notation
Subject Index
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780126851250
ISBN-10: 0126851255
Audience: Professional
Format: Paperback
Language: English
Number Of Pages: 320
Published: 7th July 1998
Publisher: Elsevier Science & Technology
Dimensions (cm): 22.9 x 15.2  x 2.0
Weight (kg): 0.608