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» Learning Character Behaviors Using Agent Modeling in Games
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ATAL
2005
Springer
15 years 9 months ago
Discovering strategic multi-agent behavior in a robotic soccer domain
2. THE MASM ALGORITHM An input to the MASM algorithm is a time-annotated multi-agent action sequence. The action sequence is then transformed into an action graph. An action graph ...
Andraz Bezek
IAT
2010
IEEE
15 years 2 months ago
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning
Abstract--The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a...
Ah-Hwee Tan, Gee Wah Ng
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
15 years 9 months ago
The impact of cellular representation on finite state agents for prisoner's dilemma
The iterated prisoner’s dilemma is a widely used computational model of cooperation and conflict. Many studies report emergent cooperation in populations of agents trained to p...
Daniel A. Ashlock, Eun-Youn Kim
AGENTS
2000
Springer
15 years 8 months ago
Automated assistants to aid humans in understanding team behaviors
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. Tools that can help humans an...
Taylor Raines, Milind Tambe, Stacy Marsella
ATAL
2010
Springer
15 years 5 months ago
Modeling recursive reasoning by humans using empirically informed interactive POMDPs
Recursive reasoning of the form what do I think that you think that I think (and so on) arises often while acting rationally in multiagent settings. Several multiagent decision-ma...
Prashant Doshi, Xia Qu, Adam Goodie, Diana Young