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» Learning for Dynamic Subsumption
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155
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CI
2005
106views more  CI 2005»
15 years 2 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
99
Voted
CSE
2009
IEEE
15 years 5 months ago
Development and Validation of an Agent-Based Simulation Model of Juvenile Delinquency
This paper describes the development and validation of a dynamic multi-agent model to simulate social learning of adolescence-limited criminal behaviour. The parameters of the age...
Tibor Bosse, Charlotte Gerritsen, Michel C. A. Kle...
127
Voted
ESANN
2004
15 years 4 months ago
Speaker verification by means of ANNs
In text-dependent speaker verification the speech signals have to be time-aligned. For that purpose dynamic time warping (DTW) can be used which performs the alignment by minimizi...
Urs Niesen, Beat Pfister
140
Voted
IWEC
2004
15 years 3 months ago
AI: the Missing Link in Digital Game Interface Design?
The central problem that this paper addresses is how to manage dynamic change within game environments in response to variable player requirements and ability. In particular, we di...
Darryl Charles, Daniel Livingstone
126
Voted
DLS
2010
146views Languages» more  DLS 2010»
15 years 17 days ago
Experiences with an icon-like expression evaluation system
The design of the Icon programming language's expression evaluation system, which can perform limited backtracking, was unique amongst imperative programming languages when c...
Laurence Tratt