Engineering Environment-Mediated Multi-Agent Systems: International Workshop, EEMMAS 2007, Dresden, Germany, October 5, 2007, Selected Revised and Invited Papers

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Danny Weyns, Sven A. Brueckner, Yves Demazeau
Springer Science & Business Media, Jul 16, 2008 - Computers - 297 pages
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 approaches to self-organizing systems often rely on global functionality to emerge from localand autonomous decisions of individual agents that commu- catethroughasharedagentenvironment.
 

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Contents

Swarms of Selfassembling Robots
1
Complex Systems and AgentOriented Software Engineering
3
A Characterization of Key Properties of EnvironmentMediated Multiagent Systems
17
Enforcing Decentralized Selforganization by Composition and Refinement of Archetype Dynamics
39
Engineering Systems Which Generate Emergent Functionalities
58
Engineering Autonomic Electronic Institutions
76
Prediction Horizons in Agent Models
88
Combining Interface Agents and Situated Agents for Deploying Adaptive Web Applications
103
Applying Multiagent Design and Decision Logic to a Baggage Handling System
148
Managing Agent Interactions with ContextDriven Dynamic Organizations
166
Modeling and Design of an AgentBased Microsimulation of the Swiss Highway Network
187
Environment Support to the Management of Context Awareness Information
204
Engineering Contextual Information for Pervasive Multiagent Systems
223
Engineering Business Ecosystems Using EnvironmentMediated Interactions
240
Experimenting with Language Support for Proximity in AmbientOriented Programming
259
EnvironmentSupported Roles to Develop Complex Systems
284

Situating Cognitive Agents in GOLEM
115
Modeling AgentEnvironment Interactions in Adaptive MAS
135

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