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UAI
2003
13 years 9 months ago
A Linear Belief Function Approach to Portfolio Evaluation
We show how to use linear belief functions to represent market information and financial knowledge, including complete ignorance, statistical observations, subjective speculations...
Liping Liu, Catherine Shenoy, Prakash P. Shenoy
RSFDGRC
2005
Springer
122views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
Ordered Belief Fusion in Possibilistic Logic
Abstract. In this paper, we propose a logical framework for reasoning about uncertain belief fusion. The framework is a combination of multi-agent epistemic logic and possibilistic...
Churn-Jung Liau
ECSQARU
2007
Springer
14 years 1 months ago
Forward-Backward-Viterbi Procedures in the Transferable Belief Model for State Sequence Analysis Using Belief Functions
Abstract. The Transferable Belief Model (TBM) relies on belief functions and enables one to represent and combine a variety of knowledge from certain up to ignorance as well as con...
Emmanuel Ramasso, Michèle Rombaut, Denis Pe...
ECAI
2008
Springer
13 years 9 months ago
Goal Generation and Adoption from Partially Trusted Beliefs
A rational agent adopts (or changes) its goals when new information (beliefs) becomes available or its desires (e.g., tasks it is supposed to carry out) change. In this paper we pr...
Célia da Costa Pereira, Andrea Tettamanzi
KI
2010
Springer
13 years 2 months ago
Focused Belief Revision as a Model of Fallible Relevance-Sensitive Perception
We present a framework for incorporating perception-induced beliefs into the knowledge base of a rational agent. Normally, the agent accepts the propositional content of perception...
Haythem O. Ismail, Nasr Kasrin