Goal-satisfaction in large-scale agent systems: A transportation example

Onn Shehory, Sarit Kraus, Osher Yadgar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


We demonstrate the applicability of a low complexity physics-oriented approach to a large-scale transportation problem. The framework is based on modeling cooperative MAS by a physics-oriented model. According to the model, agent systems inherit physical properties, and therefore the evolution of the computational systems is similar to the evolution of physical systems. We provide a detailed algorithm to be used by a single agent and implement this algorithm in our simulations. Via these we demonstrate effective task allocation and execution in an open, dynamic MAS that consists of thousands of agents and tasks.

Original languageEnglish
Title of host publicationIntelligent Agents V
Subtitle of host publicationAgents Theories, Architectures, and Languages - 5th International Workshop, ATAL 1998, Proceedings
EditorsJörg P. Müller, Munindar P. Singh, Anand S. Rao
PublisherSpringer Verlag
Number of pages16
ISBN (Print)3540657134, 9783540657132
StatePublished - 1999
Event5th International Workshop on Agents Theories, Architectures, and Languages, ATAL 1998 - Paris, France
Duration: 4 Jul 19987 Jul 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th International Workshop on Agents Theories, Architectures, and Languages, ATAL 1998

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1999.


Dive into the research topics of 'Goal-satisfaction in large-scale agent systems: A transportation example'. Together they form a unique fingerprint.

Cite this