Skip to content

Constructing Intelligent Agents Using Java Professional Developer's Guide

ISBN-10: 047139601X

ISBN-13: 9780471396017

Edition: 2nd 2001 (Revised)

Authors: Joseph P. Bigus, Jennifer Bigus

List price: $49.99
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Description:

Intelligent agents are software programs that perform tasks many users find hard to do in a Web-oriented world. Jennifer and Joseph Bigus offer an intermediate to advanced level coverage of the fundamentals of intelligent agents architecture and design.
Customers also bought

Book details

List price: $49.99
Edition: 2nd
Copyright year: 2001
Publisher: John Wiley & Sons, Incorporated
Publication date: 3/27/2001
Binding: Paperback
Pages: 432
Size: 7.50" wide x 9.50" long x 1.00" tall
Weight: 1.628
Language: English

Foreword to the Second Edition
Preface
Acknowledgments
About the Authors
Introduction
Artificial Intelligence
Basic Concepts
Symbol Processing
Neural Networks
The Internet and the Web
Intelligent Agents
Events, Conditions, and Actions
Taxonomies of Agents
Agency, Intelligence, and Mobility
Processing Strategies
Processing Functions
Agents and Human-Computer Interfaces
Using Java for Intelligent Agents
Overview of the Java Language
Autonomy
Intelligence
Mobility
Summary
Problem Solving Using Search
Defining the Problem
State Space
Search Strategies
Breadth-First Search
Depth-First Search
The SearchNode Class
Search Application
Breadth-First Search
Depth-First Search
Improving Depth-First Search
Heuristic Search
Genetic Algorithms
Summary
Exercises
Knowledge Representation
From Knowledge to Knowledge
Representation
Procedural Representation
Relational Representation
Hierarchical Representation
Predicate Logic
Resolution
Unification
Frames
Semantic Nets
Representing Uncertainty
Knowledge Interchange Format
Building a Knowledge Base
Summary
Exercises
Reasoning Systems
Reasoning with Rules
Forward Chaining
A Forward-Chaining Example
Backward Chaining
Fuzzy Rule Systems
The Rule Application
Rules
Clauses
Variables
Rule Variables
Boolean Rule Base
Forward-Chaining Implementation
Backward-Chaining Implementation
The FuzzyRuleBase Classes
FuzzyRule
FuzzyClauses
ContinuousFuzzyRuleVariable
FuzzySet
Trapezoid Fuzzy Set Class
TriangleFuzzySet Class
ShoulderFuzzySet Class
WorkingFuzzySet Class
FuzzyRuleBase
Fuzzy Forward-Chaining Implementation
Rule Application Implementation
The Vehicles RuleBase Implementation
The Motor RuleBase Implementation
Planning
Summary
Exercises
Learning Systems
Overview
Learning Paradigms
Neural Networks
Back Propagation
Kohonen Maps
Decision Trees
Information Theory
Learn Application
Continuous Variables
Discrete Variables
The DataSet Class
BackProp Implementation
Kohonen Map Implementation
Decision Tree Implementation
The Learn Application Implementation
Summary
Exercises
Agents and Multiagent Systems
Transition from AI to IA
Perception
Action
Multiagent Systems
Blackboards
Communication
Knowledge Query and Manipulation Language (KQML)
Agent Standards
FIPA
OMG
Cooperating Agents
Multiagent Planning
Competing Agents
Negotiation
Agent Software Engineering Issues
Designing Agents
Summary
Exercises
Intelligent Agent Framework
Requirements
Design Goals
Functional Specifications
Intelligent Agent Architecture
The CIAgent Framework
The CIAgent Base Classes
CIAgentEvent
CIAgentEventListener
CIAgentEventQueue
BooleanRuleBase Enhancements
Discussion
Summary
Exercises
Personal Agent Manager Application
Introduction
The FileAgent
The PAManagerFrame
FileAgent Example
The SchedulerAgent
The UserNotificationAgent
The AirfareAgent
Discussion
Summary
Exercises
InfoFilter Application
Introduction
An Example
InfoFilterFrame Class
NewsReaderAgent Class
URLReaderAgent Class
NewsArticle Class
FilterAgent Class
Discussion
Summary
Exercises
MarketPlace Application
Introduction
An Example
FacilitatorAgent
BuySellMessage
BuyerAgent
SellerAgent
Enhanced Buyers and Sellers
MarketPlace Application
Discussion
Summary
Exercises
Java-Based Agent Environments
Agent Building and Learning Environment (ABLE)
AgentBuilder
Aglets
FIPA-OS
Gossip
JADE
JATLite
Jess
Voyager
ZEUS
Discussion
Summary
Bugs and Plants Rule Bases
The Bugs Rule Base Implementation
The Plants Rule Base Implementation
Training Data Sets
Vehicles Data
Vehicles.dfn
Vehicles.dat
Xor Data
Xor.dfn
Xor.dat
XorTree Data
XorTree.dfn
XorTree.dat
Animal Data
Animal.dfn
Animal.dat
Ramp2 Data
Ramp2.dfn
Ramp2.dat
Restaurant Data
Resttree.dfn
Resttree.dat
Kmap 1 Data
Kmap 1.dfn
Kmap 1.dat
ColorTree Data
ColorTree.dfn
ColorTree.dat
The CD-ROM
User Assistance and Information
Bibliography
Index