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AAMAS
2005
Springer
14 years 9 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
ACMACE
2007
ACM
15 years 1 months ago
Graceful anytime interruptibility for virtual agents
The demo will show two highly expressive virtual agents introducing the audience to a traditional Japanese room. The agent models and gestures have been created by a professional ...
Klaus Brügmann, Helmut Prendinger, Marc Stamm...
ATAL
2010
Springer
14 years 10 months ago
Adaptive expressiveness: virtual conversational agents that can align to their interaction partner
Speakers in dialogue tend to adapt to each other by starting to use similar lexical items, syntactic structures, or gestures. This behaviour, called alignment, may serve important...
Hendrik Buschmeier, Kirsten Bergmann, Stefan Kopp
BC
2008
134views more  BC 2008»
14 years 9 months ago
Interacting with an artificial partner: modeling the role of emotional aspects
In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated a...
Isabella Cattinelli, Massimiliano Goldwurm, N. Alb...
54
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ATAL
2010
Springer
14 years 10 months ago
Symbolic model checking for agent interactions
Mohamed El-Menshawy, Wei Wan, Jamal Bentahar, Rach...