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AAAI
2012
11 years 10 months ago
Goal Recognition with Markov Logic Networks for Player-Adaptive Games
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...
Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, Jam...
IAT
2008
IEEE
14 years 2 months ago
An Agent Model for a Human's Functional State and Performance
This paper presents an agent model of the dynamics of a human’s functional state in relation to task performance and environment. It can be used in agent systems that support hu...
Tibor Bosse, Fiemke Both, Rianne van Lambalgen, Ja...
AAAI
2000
13 years 9 months ago
Human-Level AI's Killer Application: Interactive Computer Games
Although one of the fundamental goals of AI is to understand and develop intelligent systems that have all of the capabilities of humans, there is little active research directly ...
John E. Laird, Michael van Lent
ECML
2003
Springer
14 years 1 months ago
Self-evaluated Learning Agent in Multiple State Games
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Koichi Moriyama, Masayuki Numao
CN
2010
152views more  CN 2010»
13 years 7 months ago
An environment-aware mobility model for wireless ad hoc network
Simulation is a cost effective, fast and flexible alternative to test-beds or practical deployment for evaluating the characteristics and potential of mobile ad hoc networks. Sinc...
Sabbir Ahmed, Gour C. Karmakar, Joarder Kamruzzama...