Building Intelligent Agents: An Apprenticeship, Multistrategy Learning Theory, Methodology, Tool and Case Studies

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.

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presents An Approach For Building Software Agents That Can Be Trained To Assist Users In A Number Of Ways<-->for Example, By Helping Or Teaching The Users To Perform Their Tasks, Or By Performing Tasks On A User's Behalf. Topics Include Theory That Allows A User To Train An Agent By Giving Examples And Explanations, And By Supervising And Correcting Its Behavior; And A Practical Methodology And The Disciple Shell That Implement The Agent Building Theory. In Addition, Four Complex Case Studies (two Assessment And Tutoring Agents For Students, An Engineering Design Assistant, And A Virtual Military Agent) Are Included. Annotation C. By Book News, Inc., Portland, Or.