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» Where We Stand at Probabilistic Reasoning
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APIN
1999
107views more  APIN 1999»
13 years 5 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
DLOG
2011
12 years 8 months ago
The Complexity of Probabilistic EL
We analyze the complexity of subsumption in probabilistic variants of the description logic EL. In the case where probabilities apply only to concepts, we map out the borderline be...
Jean Christoph Jung, Víctor Gutiérre...
ATAL
2011
Springer
12 years 5 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
ATAL
2006
Springer
13 years 9 months ago
A stochastic language for modelling opponent agents
There are numerous cases where a reasoning agent needs to reason about the behavior of an opponent agent. In this paper, we propose a hybrid probabilistic logic language within wh...
Gerardo I. Simari, Amy Sliva, Dana S. Nau, V. S. S...
KR
2004
Springer
13 years 10 months ago
Qualitative Probabilistic Matching with Hierarchical Descriptions
This paper is about decision making based on real-world descriptions of a domain. There are many domains where differentpeoplehavedescribedvariouspartsoftheworldatdifferent f abst...
Clinton Smyth, David Poole