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Informationen zum Autor Rafael H. Bordini, University of Durham , UK Jomi Fred Hubner, University of Blumenau, Brazil Michael Wooldridge, University of Liverpool, UK Klappentext Jason is an Open Source interpreter for an extended version of AgentSpeak - a logic-based agent-oriented programming language - written in Java(TM). It enables users to build complex multi-agent systems that are capable of operating in environments previously considered too unpredictable for computers to handle. Jason is easily customisable and is suitable for the implementation of reactive planning systems according to the Belief-Desire-Intention (BDI) architecture.Programming Multi-Agent Systems in AgentSpeak using Jason provides a brief introduction to multi-agent systems and the BDI agent architecture on which AgentSpeak is based. The authors explain Jason's AgentSpeak variant and provide a comprehensive, practical guide to using Jason to program multi-agent systems. Some of the examples include diagrams generated using an agent-oriented software engineering methodology particularly suited for implementation using BDI-based programming languages. The authors also give guidance on good programming style with AgentSpeak.Programming Multi-Agent Systems in AgentSpeak using Jason* Describes and explains in detail the AgentSpeak extension interpreted by Jason and shows how to create multi-agent systems using the Jason platform.* Reinforces learning with examples, problems, and illustrations.* Includes two case studies which demonstrate the use of Jason in practice.* Features an accompanying website that provides further learning resources including sample code, exercises, and slidesThis essential guide to AgentSpeak and Jason will be invaluable to senior undergraduate and postgraduate students studying multi-agent systems. The book will also be of interest to software engineers, designers, developers, and programmers interested in multi-agent systems. Zusammenfassung This book provides a detailed, practical guide to building multi-agent systems using Jason, one of the most prominent agent programming languages. The authors give brief introductions to multi-agent systems and the Belief-Desire-Intention agent architecture (on which AgentSpeak is based), before explaining Jason's AgentSpeak Language. Inhaltsverzeichnis Preface xi Acknowledgements xvii 1 Introduction 1 1.1 Autonomous Agents 1 1.2 Characteristics of Agents 2 1.3 Multi-Agent Systems 5 1.4 Hello World! 7 2 The BDI Agent Model 15 2.1 Agent-Oriented Programming 15 2.2 Practical Reasoning 17 2.3 A Computational Model of BDI Practical Reasoning 20 2.4 The Procedural Reasoning System 22 2.5 Agent Communication 25 3 The Jason Agent Programming Language 31 3.1 Beliefs 32 3.2 Goals 40 3.3 Plans 41 3.4 Example: A Complete Agent Program 58 3.5 Exercises 65 4 Jason Interpreter 67 4.1 The Reasoning Cycle 67 4.2 Plan Failure 86 4.3 Interpreter Configuration and Execution Modes 93 4.4 Pre-Defined Plan Annotations 97 4.5 Exercises 98 5 Environments 101 5.1 Support for Defining Simulated Environments 102 5.2 Example: Running a System of Multiple Situated Agents 109 5.3 Exercises 114 6 Communication and Interaction 117 6.1 Available Performatives 118 6.2 Informal Semantics of Receiving Messages 119 6.3 Example: Contract Net Protocol 130 6.4 Exercises 135 7 User-Defined Components 139 7.1 Defining New Internal Actions 140 7.2 Customising the Agent Class 144 7.3 Customising the Overall Architecture 151 7.4 Customising the Belief Base 155 7.5 Pre-Processing Directives 160 7.6 Exercises 162 ...
List of contents
Contents
Preface
1 Introduction
1.1 Autonomous Agents
1.2 Characteristics of Agents
1.3 Multi-Agent Systems
1.4 Hello World!
2 The BDI Agent Model
2.1 Agent-Oriented Programming
2.2 Practical Reasoning
2.3 A Computational Model of BDI Practical Reasoning
2.4 The Procedural Reasoning System
2.5 Agent Communication
3 The Jason Agent Programming Language
3.1 Beliefs
3.2 Goals
3.3 Plans
3.4 Example: A Complete Agent Program
3.5 Exercises
4 Jason Interpreter
4.1 The Reasoning Cycle
4.2 Plan Failure
4.3 Interpreter Configuration and Execution Modes
4.4 Pre-Defined Plan Annotations
4.5 Exercises
5 Environments
5.1 Support for Defining Simulated Environments
5.2 Example: Running a System of Multiple Situated Agents
5.3 Exercises
6 Communication and Interaction
6.1 Available Performatives
6.2 Informal Semantics of Receiving Messages
6.3 Example: Contract Net Protocol
6.4 Exercises
7 User-Defined Components
7.1 Defining New Internal Actions
7.2 Customising the Agent Class
7.3 Customising the Overall Architecture
7.4 Customising the Belief Base
7.5 Pre-Processing Directives
7.6 Exercises
8 Advanced Goal-Based Programming
8.1 BDI Programming
8.2 Declarative (Achievement) Goal Patterns
8.3 Commitment Strategy Patterns
8.4 Other Useful Patterns
8.5 Pre-Processing Directives for Plan Patterns
9 Case Studies
9.1 Case Study I: Gold Miners
9.2 Case Study II: Electronic Bookstore
10 Formal Semantics
10.1 Semantic Rules
10.2 Semantics of Message Exchange in a Multi-Agent System
10.3 Semantic Rules for Receiving Messages
10.4 Semantics of the BDI Modalities for AgentSpeak
11 Conclusions
11.1 Jason and Agent-Oriented Programming
11.2 Ongoing Work and Related Research
11.3 General Advice on Programming Style and Practice
A Reference Guide
A.1 EBNF for the Agent Language
A.2 EBNF for the Multi-Agent Systems Language
A.3 Standard Internal Actions
A.4 Pre-Defined Annotations
A.5 Pre-Processing Directives
A.6 Interpreter Configuration
Bibliography
Report
"This essential guide to ArgentSpeak and Jason will be invaluable to senior undergraduate and post graduate students." ( Zentralblatt Math 1132 , August 2008)
