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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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Building Intelligent Agents - An Apprenticeship, Multistrategy Learning Theory, Methodology, Tool and Case Studies (Paperback)
Loot Price: R2,421
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Building Intelligent Agents - An Apprenticeship, Multistrategy Learning Theory, Methodology, Tool and Case Studies (Paperback)
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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.
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