Modeling Agents and Multiagent Systems -- Using UML in the Context of Agent-Oriented Software Engineering: State of the Art -- Towards a Recursive Agent Oriented Methodology for Large-Scale MAS -- Agent-Oriented Modeling by Interleaving Formal and Informal Specification -- The ROADMAP Meta-model for Intelligent Adaptive Multi-agent Systems in Open Environments -- Modeling Deployment and Mobility Issues in Multiagent Systems Using AUML -- Methodologies and Tools -- A Knowledge-Based Methodology for Designing Reliable Multi-agent Systems -- A Framework for Constructing Multi-agent Applications and Training Intelligent Agents -- Activity Theory for the Analysis and Design of Multi-agent Systems -- A Design Taxonomy of Multi-agent Interactions -- Automatic Derivation of Agent Interaction Model from Generic Interaction Protocols -- Patterns, Architectures, and Reuse -- Building Blocks for Agent Design -- Supporting FIPA Interoperability for Legacy Multi-agent Systems -- Dynamic Multi-agent Architecture Using Conversational Role Delegation -- Roles and Organizations -- Temporal Aspects of Dynamic Role Assignment -- From Agents to Organizations: An Organizational View of Multi-agent Systems -- Modelling Multi-agent Systems with Soft Genes, Roles, and Agents.

The explosive growth of application areas such as electronic commerce, ent- prise resource planning and mobile computing has profoundly and irreversibly changed our views on software systems. Nowadays, software is to be based on open architectures that continuously change and evolve to accommodate new components and meet new requirements. Software must also operate on di- rent platforms, without recompilation, and with minimal assumptions about its operating environment and its users. Furthermore, software must be robust and autonomous, capable of serving a naive user with a minimum of overhead and interference. Agent concepts hold great promise for responding to the new realities of so- ware systems. They o?er higher-level abstractions and mechanisms that address issues such as knowledge representation and reasoning, communication, coor- nation, cooperation among heterogeneous and autonomous parties, perception, commitments, goals, beliefs, and intentions, all of which need conceptual mo- ling. On the one hand, the concrete implementation of these concepts can lead to advanced functionalities, e.g., in inference-based query answering, transaction control, adaptive work?ows, brokering and integration of disparate information sources, and automated communication processes. On the other hand, their rich representational capabilities allow more faithful and ?exible treatments of c- plex organizational processes, leading to more e?ective requirements analysis and architectural/detailed design.