IBAL: A probabilistic rational programming language

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2001, Pages 733-740

  Pfeffer, Avi ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN PARAMETER ESTIMATION; DECISION-THEORETIC; DECLARATIVE LANGUAGES; EXPRESSION LANGUAGES; GENERATIVE MODEL; PROBABILISTIC MODELS; RATIONAL AGENTS; UTILITY MAXIMIZATIONS;

ADA (PROGRAMMING LANGUAGE); ARTIFICIAL INTELLIGENCE; SEMANTICS;

COMPUTER PROGRAMMING LANGUAGES;

EID: 84880881676     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. C. Boutilier, R. Reiter, M. Soutchanski, and S. Thrun. Decision-theoretic, high-level agent programming in the situation calculus. In AAAI, 2000.
2. C. Cumby and D. Roth. Relational representations that facilitate learning. In KR, 2000.
3. G. Hinton. Training products of experts by minimizing contrastive divergence. Technical report, Gatsby Computational Neuroscience Unit, 2000.
4. D. Koller, D. McAllester, and A. Pfeffer. Effective Bayesian inference for stochastic programs. In AAAI, 1997.
5. D. McAllester. Bellman equations for stochastic programs. Revision of talk at LPNMR-99, 2000.
6. S. Muggleton. Stochastic logic programs. Journal of Logic Programming, 2000. Accepted subject to revision.
7. A. Pfeffer, D. Koller, B. Milch, and K.T. Takusagawa. SPOOK: A system for probabilistic object-oriented knowledge representation. In UAI, 1999.