O. Shehory, S. Kraus, and O. Yadgar. Emergent cooperative goal-satisfaction in large scale automated-agent systems. Artificial Intelligence journal, 110(1):1--55, 1999. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
An Evolutionary Framework for Studying Behaviors of.. - Ketter, Babanov, Gini (2003) (Correct)
....[18] with experimental results obtained by simulating the evolution of the agent population as they adapt their strategy by observing what happens in the environment. There are various attempts to model very large multiagent systems at the macroscopic level using physics based methods. Shehory [24] models large scale multi agent systems using a method based on classical mechanics. The method requires a measure of distance to the goal. Goal satisfaction is modeled by particle collisions between dynamic particles, the agents, and static particles, the goals. Most of the examples presented ....
O. Shehory, S. Kraus, and O. Yadgar. Emergent cooperative goal-satisfaction in large scale automated-agent systems. Artificial Intelligence, 110(1), May 1999.
Design and Mathematical Analysis of Agent-based Systems - Lerman (3 citations) (Correct)
....to the steady optimal solution, and how the agent s strategy evolves to maximize the benefit to itself. Our main goal, on the other hand, is understanding the global dynamics so that wecancontrol the collectivebehavior of the system by manipulating individual agent s strategy. Shehory et al. [25] have studied a large scale multi agent system using a physics based approach similar in spirit to ours. They suggest a lowcommunication complexity coordination mechanism (though not coalition formation) for a large scale multi agent system and use a physics based microscopic model to analyze the ....
O. Shehory, S. Kraus, and O. Yadgar. Emergent cooperative goal satisfaction in large-scale automated-agent systems. Artificial Intelligence, 110(1), 1999.
A Plan Fusion Algorithm for Multi-Agent Systems - de Weerdt, Bos, Tonino.. (2000) (Correct)
....pro t maximization problems are dealt with. In this approach, however, no speci c algorithms for joint planning are discussed and a coalition of agents is saddled with the computationally very dicult problem of constructing a joint plan to perform a complex task from scratch. Others, as, e.g. in [9, 10], propose to solve the problem by assuming that the interactive planning part can be neglected and concentrate on ecient approximately optimal task allocation methods by means of which resources are distributed over teams of agents that, given the allocation of resources, do not have an additional ....
....task allocation methods by means of which resources are distributed over teams of agents that, given the allocation of resources, do not have an additional computationally dicult planning problem. In this paper, we take another approach to the multi agent cooperative planning problem. Unlike [9, 10], we do take into account the multi agent planning aspect, but, unlike [8] our agents do not face the dicult problem of constructing a joint plan from scratch. We consider situations in which: Each agent or group of agents already has a plan available to perform his her part of the task. This ....
O. Shehory, S. Kraus, and O. Yadgar. Emergent cooperative goal-satisfaction in large-scale automated-agent systems. Articial Intelligence, 110(1):1-55, 1999.
A Study of Scalability Properties in Robotic Teams - Rosenfeld, Kaminka, Kraus (2005) Self-citation (Kraus) (Correct)
No context found.
O. Shehory, S. Kraus, and O. Yadgar. Emergent cooperative goal-satisfaction in large scale automated-agent systems. Artificial Intelligence journal, 110(1):1--55, 1999.
Coalition Formation for Large-Scale Electronic Markets - Lerman, Shehory (2000) (8 citations) Self-citation (Shehory) (Correct)
....the model quantitatively for different parameter values. We relate these results to predictions about group formation behavior, e.g. the number and size of coalitions in a large scale MAS. 3. The approach Some previous attempts to mathematically study a largescale MAS used a physics based [15] approach. Several advantages were shown to stem from such an approach. 1 Note that some e stores provide a service which has some similarities. For instance, Mobshop (http: www.mobshop.com) provides increasing savings according to a sale volume, and one can join a sale to receive this discount. ....
....work and ours is that, while we address the more complex case of self interested agents, Sen addresses the case of cooperative agents. Note that in another work Sen addresses the case of self interested agents [12] however there no coalition formation is discussed. Another work, by Shehory et al. [15] suggests a low communication complexity coordination mechanism for large scale MAS. It also suggests a model similar to a physical model, and that the tools provided by physics can be used to analyze and predict large scale behavior. Yet, that work does not support the formation of groups, and ....
O. Shehory, S. Kraus, and O. Yadgar. Emergent cooperative goal satisfaction in large-scale automated-agent systems. Artificial Intelligence, 1999.
Distributed, Physics-Based Control of Swarms of Vehicles - Spears, Spears, Hamann, Heil (Correct)
No context found.
S. Kraus O. Shehory and O. Yadgar. Emergent cooperative goal-satisfaction in large-scale automated-agent systems. Artificial Intelligence, 110:1--55, 1999.
A Formal Analysis of Potential Energy in a Multiagent System - Spears, Spears, Heil (Correct)
No context found.
S. K. O. Shehory and O. Yadgar, "Emergent cooperative goalsatisfaction in large-scale automated-agent systems," Artificial Intelligence, vol. 110, pp. 1--55, 1999.
Physicomimetics for Mobile Robot Formations - William Spears Rodney (2004) (Correct)
No context found.
S. K. O. Shehory and O. Yadgar. Emergent cooperative goalsatisfaction in large-scale automated-agent systems. Artificial Intelligence, 110:1--55, 1999.
A low cost/high performance Scalable Topology for Multi-Agent .. - Aguirre, Huerta (Correct)
No context found.
S. K. . O. Y. O. Shehory. Emergent cooperative goal-satisfaction in large-scale automated-agent systems. Arti cial Intelligence, (110):1-55, 1999.
Algorithms for Combinatorial Coalition Formation and Payoff.. - Li, Sycara (2001) (Correct)
No context found.
Onn Shehory, Sarit Kraus, Osher Yadgar. Emergent Cooperative Goal-Satisfaction in Large Scale Automated-Agent Systems. Artificial Intelligence, 110(1): 1-55, 1999.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC