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» Probabilistic Agent Programs
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VMCAI
2004
Springer
15 years 5 months ago
Approximate Probabilistic Model Checking
In this paper we deal with the problem of applying model checking to real programs. We verify a program without constructing the whole transition system using a technique based on...
Thomas Hérault, Richard Lassaigne, Fr&eacut...
CIMCA
2005
IEEE
15 years 5 months ago
Linear Response Formula in Generalized Belief Propagation for Probabilistic Inference
Linear response formulas for the generalized belief propagation in approximate inference are derived by using generalized belief propagation. The linear response formulas can give...
Kazuyuki Tanaka
SOFSEM
2007
Springer
15 years 6 months ago
Incremental Learning of Planning Operators in Stochastic Domains
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
Javad Safaei, Gholamreza Ghassem-Sani
ATAL
2004
Springer
15 years 5 months ago
On Ability to Autonomously Execute Agent Programs with Sensing
Most existing work in agent programming assumes an execution model where an agent has a knowledge base (KB) about the current state of the world, and makes decisions about what to ...
Sebastian Sardiña, Giuseppe De Giacomo, Yve...
KR
2004
Springer
15 years 5 months ago
Learning Probabilistic Relational Planning Rules
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...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...