Constructing intelligent agents with Java : a programmer's guide to smarter applications

Allows programmers to add complex features to agents, increasing the automated tasks they can perform. This book teaches programmers the fundamentals of Java-based agents, first teaching how to design agents that can reason, recognize events, model, and even learn. It then shows how to develop code for personal agents, network or Web agents, multi-agent systems, and commercial agents. Intelligent Agents with Java(TM) A Programmer's Guide to Smarter Applications Add Artificial Intelligence to your Java applications * Learn to design and implement agent-based reasoning, modeling, and learning * Build your own personal assistants, Web agents, e-commerce agents, and multiagent systems. Learn how to create intelligent agents that can automate, mediate, and administer basic business functions. Java makes it easier than ever for programmers to build complex agents that reason and learn. In this book, enterprise programming experts Joe and Jennifer Bigus show you how to take advantage of Java's advanced features to differentiate your applications and build the smartest high-powered applications possible. The authors explain the principles of Al program design using Java's object-oriented features and present the essential AI algorithms used to develop agents that reason, model, and learn to adapt to the world around them. They then show how to apply these algorithms and techniques in practical "real-world" distributed computing applications. They develop an intelligent agent architecture and use it to construct several agent-enhanced programs, including a PC management agent, an adaptive Internet news reader that filters articles based on user preferences, and an electronic marketplace application where agents do the buying and selling. The enclosed CD-ROM gives * Complete source code for Java implementations of AI search algorithms, rule-based inferencing, and neural network learning * Java source code for three practical intelligent agent applications * The IBM Agent Building Environment (ABE) Developer's Toolkit The authors explain the principles of AI program design using Java's object-oriented features and present the essential AI algorithms used to develop agents that reason, model, and learn to adapt to the world around them. They then show how to apply these algorithms and techniques in practical "real-world" distributed computing applications. They develop an intelligent agent architecture and use it to construct several agent-enhanced programs, including a PC management agent, an adaptive Internet news reader that filters articles based on user preferences, and an electronic marketplace application where agents do the buying and selling.