Engineering Environment-Mediated Multi-Agent Systems

International Workshop, EEMMAS 2007, Dresden, Germany, October 5, 2007, Selected Revised and Invited Papers
2008
ISBN: 978-3-540-85028-1
Verlag: Springer Berlin Heidelberg

Buch, Englisch, 297 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 476 g

Reihe: Lecture Notes in Artificial Intelligence

Software intensive systems are increasingly expected to deal with changing user needs and dynamic operating conditions at run time. Examples are the need for life recon?gurations, management of resource variability, and dealing with p- ticular failure modes. Endowing systems with these kinds of capabilities poses severe challenges to software engineers and necessitates the development of new techniques, practices, and tools that build upon sound engineering principles. The ?eld of multi-agent systems focuses on the foundations and engineering of systems that consists of a network of autonomous entities (agents) that int- act to achieve the system goals. One line of research in multi-agent systems, inspired by biological, physical and other naturally occurring systems, concerns multi-agent systems in which agents share information and coordinate their - havior througha shared medium called an agentenvironment. Typical examples are gradient ?elds and digital pheromones that guide agents in their local c- text and as such facilitate the coordination of a community of agents. Since environment-mediation in multi-agent systems has shown to result in mana- able solutions with very adaptable qualities, it is a promising paradigm to deal with the increasing complexity and dynamism of distributed applications. Control in environment-mediated multi-agent systems is decentralized, i. e., noneofthecomponentshasfullaccessorcontroloverthesystem. Self-organization isanapproachtoengineerdecentralized,distributedandresource-limitedsystems thatarecapableofdynamicallyadaptingtochangingconditionsandrequirements without external intervention. This useful system property is often re?ected in functionssuchasself-con?guration,self-optimization,andself-healing. Engine- ing approachesto self-organizing systems often rely on global functionality to emerge from localand autonomous decisions of individual agents that commu- catethroughasharedagentenvironment.

Zielgruppe

Research

Autoren/Hrsg.

Weyns, Danny

Demazeau, Yves

Brueckner, Sven A.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering Objektorientierte Softwareentwicklung
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Technische Informatik Externe Speicher & Peripheriegeräte

Inhaltsverzeichnis

Invited Talks.- Swarms of Self-assembling Robots.- Complex Systems and Agent-Oriented Software Engineering.- Engineering Self-organizing Applications.- A Characterization of Key Properties of Environment-Mediated Multiagent Systems.- Toward Systemic MAS Development: Enforcing Decentralized Self–organization by Composition and Refinement of Archetype Dynamics.- Engineering Systems Which Generate Emergent Functionalities.- Engineering Autonomic Electronic Institutions.- Stigmergic Interaction.- Prediction Horizons in Agent Models.- Combining Interface Agents and Situated Agents for Deploying Adaptive Web Applications.- Modeling and Structuring Mediating Environments.- Situating Cognitive Agents in GOLEM.- Modeling Agent-Environment Interactions in Adaptive MAS.- DECIDE: Applying Multi-agent Design and Decision Logic to a Baggage Handling System.- Environment-Based Support for Context and Organizations.- Managing Agent Interactions with Context-Driven Dynamic Organizations.- Modeling and Design of an Agent-Based Micro-simulation of the Swiss Highway Network.- Environment Support to the Management of Context Awareness Information.- Engineering Contextual Information for Pervasive Multiagent Systems.- Engineering Business Ecosystems Using Environment-Mediated Interactions.- Experimenting with Language Support for Proximity in Ambient-Oriented Programming.- Environment-Supported Roles to Develop Complex Systems.