5th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '93, Neuchatel, Switzerland, August 25-27, 1993. Selected Papers Herausgegeben:Castelfranchi, Cristiano; Müller, Jean-Pierre
5th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '93, Neuchatel, Switzerland, August 25-27, 1993. Selected Papers Herausgegeben:Castelfranchi, Cristiano; Müller, Jean-Pierre
This volume contains thoroughly refereed full versions of the best papers presented at the 5th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '93, held in Neuchâtel, Switzerland in August 1993. The volume opens with a detailed introduction by the volume editors bringing the papers in line and offering a readers' guide. The 15 full research papers reflect the state-of-the-art in this dynamic field of research; they are organized in sections on emergence of global properties, emergence of sociality, multi-agent planning, multi-agent communication, and multi-agent architectures.…mehr
This volume contains thoroughly refereed full versions of the best papers presented at the 5th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '93, held in Neuchâtel, Switzerland in August 1993. The volume opens with a detailed introduction by the volume editors bringing the papers in line and offering a readers' guide. The 15 full research papers reflect the state-of-the-art in this dynamic field of research; they are organized in sections on emergence of global properties, emergence of sociality, multi-agent planning, multi-agent communication, and multi-agent architectures.
Artikelnr. des Verlages: 10486525, 978-3-540-60155-5
1995.
Seitenzahl: 264
Erscheinungstermin: 2. August 1995
Englisch
Abmessung: 235mm x 155mm x 15mm
Gewicht: 366g
ISBN-13: 9783540601555
ISBN-10: 3540601554
Artikelnr.: 09231277
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Inhaltsangabe
From reaction to cognition 5th European Workshop on modelling an agent in a multi-agent world MAAMAW '93.- When ants play chess (Or can strategies emerge from tactical behaviours?).- How to define agent properties - or: What is a fair agent?.- Emergent planning: A computational architecture for situated behaviour.- Coalition formation among autonomous agents: Strategies and complexity (preliminary report).- Coalition formation among autonomous agents.- Organizational fluidity and sustainable cooperation.- Emergent constraint satisfaction through multi-agent coordinated interaction.- Sophisticated and distributed: The transportation domain.- A framework for the interleaving of execution and planning for dynamic tasks by multiple agents.- Generic, configurable, cooperation protocols for multi-agent systems.- Around the architectural agent approach to model conversations.- Norms as mental objects. From normative beliefs to normative goals.- The hedonic agent: A constructivist approach of abductive capacities.- The conceptual framework of MAI2L.- Designing good pursuit problems as testbeds for distributed AI: A novel application of genetic algorithms.
From reaction to cognition 5th European Workshop on modelling an agent in a multi-agent world MAAMAW '93.- When ants play chess (Or can strategies emerge from tactical behaviours?).- How to define agent properties - or: What is a fair agent?.- Emergent planning: A computational architecture for situated behaviour.- Coalition formation among autonomous agents: Strategies and complexity (preliminary report).- Coalition formation among autonomous agents.- Organizational fluidity and sustainable cooperation.- Emergent constraint satisfaction through multi-agent coordinated interaction.- Sophisticated and distributed: The transportation domain.- A framework for the interleaving of execution and planning for dynamic tasks by multiple agents.- Generic, configurable, cooperation protocols for multi-agent systems.- Around the architectural agent approach to model conversations.- Norms as mental objects. From normative beliefs to normative goals.- The hedonic agent: A constructivist approach of abductive capacities.- The conceptual framework of MAI2L.- Designing good pursuit problems as testbeds for distributed AI: A novel application of genetic algorithms.
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