46 search results - page 4 / 10 » Mental Models to Represent Dynamics - Using the Example |
KR
2004
Springer
14 years 1 months ago
2004
Springer
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
CLIMA
2004
13 years 9 months ago
2004
Abstract. We introduce a logical framework suitable to formalize structures of epistemic agents. Such a framework is based on the notion of weighted directed acyclic graphs (WDAGs)...
JMLR
2010
13 years 2 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
ICMCS
2010
IEEE
13 years 9 months ago
2010
IEEE
High Dynamic Range (HDR) images can represent the acquired scene with a greater dynamic range of luminance than classical Low Dynamic Range (LDR) ones. Despite the recent diffusio...
FUIN
2006
13 years 8 months ago
2006
In recent years light-weighted formal methods are of growing interest in construction and analysis of complex concurrent software system. A new rule-action based term rewriting fr...