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

  • Authors:

  • Gheorghe Tecuci

  • Affiliations:

  • -

  • Venue:
  • Building Intelligent Agents: An Apprenticeship Multistrategy Learning Theory, Methodology, Tool and Case Studies
  • Year:
  • 1998

Quantified Score

Hi-index 0.00

Visualization

Abstract

From the Publisher:A learning agent is a specialized interactive knowledge-based system that can be trained by a user to assist in a number of ways, such as performing tasks on the user's behalf or helping a number of users collaborate on a particular project. 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. 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.