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Building research grade multi-agent systems usually involves a broad variety of software infrastructure ingredients like planning, scheduling, coordination, communication, transport, simulation, and module integration technologies and as such constitutes a great challenge to the individual researcher active in the area.
The book presents a collection of papers on approaches that will help make deployed and large scale multi-agent systems a reality. The first part focuses on available infrastructure and requirements for constructing research-grade agents and multi-agent systems. The second part deals with support in infrastructure and software development methods for multi-agent systems that can directly support coordination and management of large multi-agent communities; performance analysis and scalability techniques are needed to promote deployment of multi-agent systems to professionals in software engineering and information technology.
List of contents
Infrastructure and Requirements for Building Research-Grade Multi-Agent Systems.- MAS Infrastructure Definitions, Needs, and Prospects.- Tools for Developing and Monitoring Agents in Distributed Multi-agent Systems.- Agora: An Infrastructure for Cooperative Work Support in Multi-Agent Systems.- Sensible Agent Testbed Infrastructure for Experimentation.- The MadKit Agent Platform Architecture.- An Architecture for Modeling Internet-based Collaborative Agent Systems.- Frameworks for Reasoning about Agent Based System.- Integrating High-Level and Detailed Agent Coordination into a Layered Architecture.- Adaptive Infrastructures for Agent Integration.- RoboCup Soccer Server and CMUnited: Implemented Infrastructure for MAS Research.- An Agent Infrastructure to Build and Evaluate Multi-Agent Systems: The Java Agent Framework and Multi-Agent System Simulator.- Design-to-Criteria Scheduling: Real-Time Agent Control.- Integrating Conversational Interaction and Constraint Based Reasoning in an Agent Building Shell.- An Enabling Environment for Engineering Cooperative Agents.- Agent Mobility and Reification of Computational State: An Experiment in Migration.- As Strong as Possible Agent Mobility.- An Architecture for Adaptive Web Stores.- Performance Issues and Infrastructure Scalability in Building Multi-Agent Systems.- A Performance Analysis Framework for Mobile Agent Systems.- A Layered Agent Template for Enterprise Computing.- A Community of Agents for User Support in a Problem-Solving Environment.- Scalable Mobile Agents Supporting Dynamic Composition of Functionality.- A Formal Development and Validation Methodology Applied to Agent-Based Systems.- A Proposal for Meta-learning through a MAS (Multi-agent System).- Scalability Metrics and Analysis of Mobile Agent Systems.- Improving the Scalability of Multi-agent Systems.- Mobile Agents for Distributed Processing.- Scalability of a Transactional Infrastructure for Multi-Agent Systems.- Towards a Scalable Architecture for Knowledge Fusion.- Towards Validation of Specifications by Simulation.- Open Source, Standards and Scaleable Agencies.- Infrastructure Issues and Themes for Scalable Multi-agent Systems.
Summary
Building research grade multi-agent systems usually involves a broad variety of software infrastructure ingredients like planning, scheduling, coordination, communication, transport, simulation, and module integration technologies and as such constitutes a great challenge to the individual researcher active in the area.
The book presents a collection of papers on approaches that will help make deployed and large scale multi-agent systems a reality. The first part focuses on available infrastructure and requirements for constructing research-grade agents and multi-agent systems. The second part deals with support in infrastructure and software development methods for multi-agent systems that can directly support coordination and management of large multi-agent communities; performance analysis and scalability techniques are needed to promote deployment of multi-agent systems to professionals in software engineering and information technology.
