Building Intelligent Agents
22%
off

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

4 (1 rating by Goodreads)
By (author) 

Free delivery worldwide

Available. Dispatched from the UK in 3 business days
When will my order arrive?

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.
show more

Product details

  • Paperback | 320 pages
  • 170 x 244 x 20mm | 621.42g
  • Morgan Kaufmann Publishers In
  • San Francisco, United States
  • English
  • 0126851255
  • 9780126851250

Table of contents

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.
show more

About Gheorghe Tecuci

Gheorghe Tecuci is Professor of Computer Science at George Mason University and a full member of the Romanian Academy. He has had around 100 scientific papers published, and is best known for his contributions to multistrategy learning and integrated machine learning and knowledge acquisition.
show more

Rating details

1 ratings
4 out of 5 stars
5 0% (0)
4 100% (1)
3 0% (0)
2 0% (0)
1 0% (0)
Book ratings by Goodreads
Goodreads is the world's largest site for readers with over 50 million reviews. We're featuring millions of their reader ratings on our book pages to help you find your new favourite book. Close X