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AGENTS
2001
Springer
13 years 8 months ago
A reflexive, not impulsive agent
Catherine Pelachaud, Isabella Poggi, Berardina De ...
AGENTS
2001
Springer
13 years 8 months ago
Representing social structures in UML
From a software engineering perspective, agent systems are a specialization of object-oriented (OO) systems, in which individual objects have their own threads of control and thei...
H. Van Dyke Parunak, James Odell
AGENTS
2001
Springer
13 years 8 months ago
Entropy and self-organization in multi-agent systems
Emergent self-organization in multi-agent systems appears to contradict the second law of thermodynamics. This paradox has been explained in terms of a coupling between the macro ...
H. Van Dyke Parunak, Sven Brueckner
AGENTS
2001
Springer
13 years 8 months ago
An auction-based method for decentralized train scheduling
We present a computational study of an auction-based method for decentralized train scheduling. The method is well suited to the natural information and control structure of moder...
David C. Parkes, Lyle H. Ungar
AGENTS
2001
Springer
13 years 8 months ago
Trust-based facilitator for e-partnerships
In this paper, we propose a facilitator that finds capable and trustworthy partners on behalf of client users, which helps users form and maintain e-partnerships for electronic co...
Chihiro Ono, Boyd C. Paulson Jr., Dai Kanetomo, Ma...
AGENTS
2001
Springer
13 years 8 months ago
Matchmaking among minimal agents without a facilitator
Multi-Agent Systems are a promising way of dealing with large complex problems. However, it is not yet clear just how much complexity or pre-existing structure individual agents m...
Elth Ogston, Stamatis Vassiliadis
AGENTS
2001
Springer
13 years 8 months ago
A reinforcement learning model of selective visual attention
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Silviu Minut, Sridhar Mahadevan
AGENTS
2001
Springer
13 years 8 months ago
Teaching a robot how to read symbols
François Michaud
AGENTS
2001
Springer
13 years 8 months ago
Hierarchical multi-agent reinforcement learning
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
AGENTS
2001
Springer
13 years 8 months ago
Is the wolf angry or ... just hungry?
In this paper we will discuss different types of control over synthetic characters in interactive stories. We will argue that, to attain a deeper and more engaging control, in ce...
Isabel Machado, Ana Paiva, Rui Prada