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From Reaction to Cognition

Editat de Cristiano Castelfranchi, Jean-Pierre Müller
en Limba Engleză Paperback – 2 aug 1995
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.
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Specificații

ISBN-13: 9783540601555
ISBN-10: 3540601554
Pagini: 264
Ilustrații: VI, 258 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Ediția:1995
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.