Objective Coordination in Multi-Agent System Engineering [electronic resource] : Design and Implementation / by Michael Schumacher.
Material type: TextSeries: Lecture Notes in Computer Science ; 2039Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2001Description: XIV, 154 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540449331Subject(s): Computer science | Computer Communication Networks | Software engineering | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Computer Communication Networks | Programming Techniques | Software EngineeringAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online resources: Click here to access onlineCurrent library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
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IMSc Library | IMSc Library | Link to resource | Available | EBK5084 |
Positioning -- Multi-Agent Systems -- Coordination Models and Languages -- ECM and Its Instances -- The ECM Coordination Model -- The STL Coordination Language -- The STL++ Coordination Language -- The Agent & Co Coordination Language -- Case Studies in STL++ -- Collective Robotics Simulation -- Trading System Simulation -- Conclusion.
Based on a suitably defined coordination model distinguishing between objective (inter-agent) coordination and subjective (intra-agent) coordination, this book addresses the engineering of multi-agent systems and thus contributes to closing the gap between research and applications in agent technology. After reviewing the state of the art, the author introduces the general coordination model ECM and the corresponding object-oriented coordination language STL++. The practicability of ECM/STL++ is illustrated by the simulation of a particular collective robotics application and the automation of an e-commerce trading system. Situated at the intersection of behavior-based artificial intelligence and concurrent and distributed systems, this monograph is of relevance to the agent R&D community approaching agent technology from the distributed artificial intelligence point of view as well as for the distributed systems community.
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