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» Learning Models of Intelligent Agents
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87
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ATAL
2006
Springer
15 years 4 months ago
Evaluating a computational model of social causality and responsibility
Intelligent agents are typically situated in a social environment and must reason about social cause and effect. Such reasoning is qualitatively different from physical causal rea...
Wenji Mao, Jonathan Gratch
116
Voted
ATAL
2008
Springer
15 years 2 months ago
The Use of Norms Violations to Model Agents Behavioral Variety
In multi-agent applications, normative systems are usually used to regulate the behavior of the agents. They provide an efficient means to ensure limited deviations from an expecte...
Benoit Lacroix, Philippe Mathieu, Andras Kemeny
99
Voted
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 7 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
108
Voted
CCGRID
2006
IEEE
15 years 6 months ago
Towards Building an Intelligent Traffic Simulation Platform
Traffic congestion has become a major concern for many cities throughout the world. Simulations provide useful tools for engineer to plan traffic systems and government to make de...
Jian Cao, Minglu Li, Linpeng Huang, Ren Qinsheng, ...
ATAL
2011
Springer
14 years 23 days ago
A computational model of achievement motivation for artificial agents
Computational models of motivation are tools that artificial agents can use to autonomously identify, prioritize, and select the goals they will pursue. Previous research has focu...
Kathryn Elizabeth Merrick