Multi-Agent Oriented Programming: Programming Multi-Agent Systems Using JaCaMo (Intelligent Robotics and Autonomous Agents series)

✍ Scribed by Olivier Boissier, Rafael H. Bordini, Jomi Hubner, Alessandro Ricci

• Publisher: The MIT Press
• Tongue: English
• Leaves: 261
• Category: Library

✦ Synopsis

The main concepts and techniques of multi-agent oriented programming, which supports the multi-agent systems paradigm at the programming level.

A multi-agent system is an organized ensemble of autonomous, intelligent, goal-oriented entities called agents, communicating with each other and interacting within an environment. This book introduces the main concepts and techniques of multi-agent oriented programming, (MAOP) which supports the multi-agent systems paradigm at the programming level. MAOP provides a structured approach based on three integrated dimensions, which the book examines in detail: the agent dimension, used to design the individual (interacting) entities; the environment dimension, which allows the development of shared resources and connections to the real world; and the organization dimension, which structures the interactions among the autonomous agents and the shared environment.

The book puts the approach into practice using the JaCaMo programming model and platform. It employs an easy-to-follow, step-by-step style, showing solutions to increasingly complex scenarios. The book also discusses the integration of MAOP into existing technologies and application domains, including mobile computing, web-based computing, and robotics. Finally, it considers artificial intelligence (AI)–related classical problems from an MAOP perspective and discusses an agent-oriented approach to software engineering.

✦ Table of Contents

Contents
List of Figures
List of Research Corners
List of Technology Corners
Acknowledgments
1: Introduction
1.1 Objectives
1.2 Challenges
1.3 Approach
1.4 Intended Readership
1.5 Book Structure and Reading Guide
2: An Overview of Multi-Agent Oriented Programming
2.1 Multi-Agent Systems
2.2 Multi-Agent Oriented Programming
2.3 Main Abstractions
2.4 Integrated View
2.5 Overcoming Challenges
2.6 Wrap-Up
2.7 Bibliographical Notes
3: Getting Started
3.1 Single-Agent Hello-World
3.2 Multi-Agent Hello-World
3.3 Hello-World Environment
3.4 Hello-World Organization
3.5 Bibliographical Notes
Exercises
4: The Agent Dimension
4.1 Overview
4.2 Agent Abstractions
4.3 Agent Execution
4.4 Bibliographical Notes
Exercises
5: The Environment Dimension
5.1 Overview
5.2 Environment Abstractions
5.3 Environment Execution
5.4 Bibliographical Notes
Exercises
6: Programming an Agent and Its Environment
6.1 Programming a Proactive Smart Room
6.2 Adding Reactivity to the Smart Room
6.3 Adding Fault Tolerance to the Smart Room
6.4 Making the Smart Room Adaptive
6.5 What We Have Learned
Exercises
7: Programming Multiple Agents Interacting in an Environment
7.1 Programming a Smart Room with Multiple Agents
7.2 Decentralizing the Coordination with Interaction Protocols
7.3 Environment-Mediated Coordination
7.4 From Decentralization to Distribution
7.5 What We Have Learned
Exercises
8: The Organization Dimension
8.1 Overview
8.2 Organization Abstractions
8.3 Organization Execution
8.4 Bibliographical Notes
Exercises
9: Programming Organizations of Situated Agents
9.1 Programming an Organized Smart Room
9.2 Changing the Organization
9.3 Agents Deploying Their Organization
9.4 Agents Reasoning about Their Organization
9.5 What We Have Learned
Exercises
10: Integration with Other Technologies
10.1 Libraries, Frameworks, and Platforms
10.2 Mainstream Application Domains and Technologies
10.3 Integration with Other Multi-Agent System Platforms
11: Wrap-Up and Perspectives
11.1 The MAOP Viewpoint—Wrap-Up
11.2 MAOP and Artificial Intelligence
11.3 MAOP and Software Engineering
11.4 The Road Ahead
Solutions to Exercises
References
Index