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» Learning Character Behaviors Using Agent Modeling in Games
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ATAL
2006
Springer
15 years 3 months ago
Convergence analysis for collective vocabulary development
We study how decentralized agents can develop a shared vocabulary without global coordination. Answering this question can help us understand the emergence of many communication s...
Jun Wang, Les Gasser, Jim Houk
75
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FLAIRS
2004
15 years 1 months ago
The Power of Experience: On the Usefulness of Validation Knowledge
TURING Test technologies are promising ways to validate AI systems which may have no alternative way to indicate validity. Human experts (validators) are often too expensive to in...
Rainer Knauf, Setsuo Tsuruta, Kenichi Uehara, Taka...
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 5 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
96
Voted
NECO
2007
150views more  NECO 2007»
14 years 11 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
CONNECTION
2008
178views more  CONNECTION 2008»
14 years 11 months ago
Spoken language interaction with model uncertainty: an adaptive human-robot interaction system
Spoken language is one of the most intuitive forms of interaction between humans and agents. Unfortunately, agents that interact with people using natural language often experienc...
Finale Doshi, Nicholas Roy