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AAAI
2007
14 years 9 days ago
Predictive Exploration for Autonomous Science
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
David R. Thompson
TSMC
2002
128views more  TSMC 2002»
13 years 9 months ago
Imitation with ALICE: learning to imitate corresponding actions across dissimilar embodiments
Imitation is a powerful mechanism whereby knowledge may be transferred between agents (both biological and artificial). Key problems on the topic of imitation have emerged in vario...
Aris Alissandrakis, Chrystopher L. Nehaniv, Kersti...
ROBOCUP
2005
Springer
158views Robotics» more  ROBOCUP 2005»
14 years 3 months ago
Dynamic Positioning Based on Voronoi Cells (DPVC)
Abstract. In this paper we are proposing an approach for flexible positioning of players in Soccer Simulation in a Multi-Agent environment. We introduce Dynamic Positioning based ...
HesamAddin Dashti, Nima Aghaeepour, Sahar Asadi, M...
PAAMS
2010
Springer
14 years 2 months ago
Comparing Three Computational Models of Affect
In aiming for behavioral fidelity, artificial intelligence cannot and no longer ignores the formalization of human affect. Affect modeling plays a vital role in faithfully simulati...
Tibor Bosse, Jonathan Gratch, Johan F. Hoorn, Matt...
CDC
2009
IEEE
201views Control Systems» more  CDC 2009»
14 years 1 months ago
Consensus of discrete-time multi-agent systems with nonlinear local rules and time-varying delays
In a multi-agent system (MAS), the agents are often considered to be autonomous entities, such as robots or software programs, each under the influence of a local rule, representin...
Yao Chen, Jinhu Lu, Zongli Lin