After it has been successfully done in probability and possibility theories, the paper is the first attempt to introduce the operator of composition also for belief functions. We prove that the proposed definition preserves all the necessary properties of the operator enabling us to define compositional models as an efficient tool for multidimensional models representation
MinC combination of belief functions - an instance of combination per elements is recalled in order ...
We investigate the properties of compositional truth theories and try to understand their strength. ...
Probabilistic Compositional Models:solution of an equivalence problemProbabilistic Compositional Mod...
In probability theory, compositional models are as powerful as Bayesian networks. However, the relat...
AbstractThe goal of the paper is twofold. The first is to show that some of the ideas for representa...
Dempster´s rule of combination is compared with the so called operator of composition, which is in t...
Abstract. Valuation-based systems (VBS) can be considered as a generic uncertainty framework that ha...
This is the author final draft. Copyright 2014 ElsevierCompositional models were initially described...
We provide decomposition and quotienting results for multi-modal logic with respect to a composition...
Reasoning by cases or assumptions is a common form of human reasoning. In case of probability reason...
Abstract. Practically all methods for efficient computation with multidimensional models take advant...
This paper presents an account of notional belief attributions, that is, belief attributions where t...
This survey presents in some detail the main advances that have been recently taking place in Comput...
AbstractCompositional model theory serves as an alternative approach to multidimensional probability...
This work is partially based on a paper entitled “Can we enforce full compositionality in uncertaint...
MinC combination of belief functions - an instance of combination per elements is recalled in order ...
We investigate the properties of compositional truth theories and try to understand their strength. ...
Probabilistic Compositional Models:solution of an equivalence problemProbabilistic Compositional Mod...
In probability theory, compositional models are as powerful as Bayesian networks. However, the relat...
AbstractThe goal of the paper is twofold. The first is to show that some of the ideas for representa...
Dempster´s rule of combination is compared with the so called operator of composition, which is in t...
Abstract. Valuation-based systems (VBS) can be considered as a generic uncertainty framework that ha...
This is the author final draft. Copyright 2014 ElsevierCompositional models were initially described...
We provide decomposition and quotienting results for multi-modal logic with respect to a composition...
Reasoning by cases or assumptions is a common form of human reasoning. In case of probability reason...
Abstract. Practically all methods for efficient computation with multidimensional models take advant...
This paper presents an account of notional belief attributions, that is, belief attributions where t...
This survey presents in some detail the main advances that have been recently taking place in Comput...
AbstractCompositional model theory serves as an alternative approach to multidimensional probability...
This work is partially based on a paper entitled “Can we enforce full compositionality in uncertaint...
MinC combination of belief functions - an instance of combination per elements is recalled in order ...
We investigate the properties of compositional truth theories and try to understand their strength. ...
Probabilistic Compositional Models:solution of an equivalence problemProbabilistic Compositional Mod...