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» Learning Character Behaviors Using Agent Modeling in Games
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ATAL
2007
Springer
15 years 10 months ago
An adversarial environment model for bounded rational agents in zero-sum interactions
Multiagent environments are often not cooperative nor collaborative; in many cases, agents have conflicting interests, leading to adversarial interactions. This paper presents a ...
Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschei...
92
Voted
ATAL
2008
Springer
15 years 5 months ago
Identifying beneficial teammates using multi-dimensional trust
Multi-agent teams must be capable of selecting the most beneficial teammates for different situations. Multi-dimensional trustworthiness assessments have been shown significantly ...
Jaesuk Ahn, Xin Sui, David DeAngelis, K. Suzanne B...
130
Voted
AAMAS
2005
Springer
15 years 3 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
146
Voted
ATAL
2010
Springer
15 years 4 months ago
Evaluating models of speaker head nods for virtual agents
Virtual human research has often modeled nonverbal behaviors based on the findings of psychological research. In recent years, however, there have been growing efforts to use auto...
Jina Lee, Zhiyang Wang, Stacy Marsella
137
Voted
PUC
2010
121views more  PUC 2010»
15 years 2 months ago
Expressing and interpreting emotional movements in social games with robots
This paper provides a framework for recording, analyzing and modeling of 3 dimensional emotional movements for embodied game applications. To foster embodied interaction, we need i...
Emilia I. Barakova, Tino Lourens