By
Gheorghe Tecuci, Romanian Academy
Description
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.
Audience:
First-year graduate courses in machine learning and AI; graduates, researchers, and students involved in developing intelligent agents;
practitioners, particularly in the military where there is a lot of work going on in developing large software training simulations containing
agents.
