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 Institut de Recherche en Informatique de Toulouse


A Dichotomy for 2-Constraint Forbidden CSP Patterns

AAAI Conferences

A var(a) v} to v. If cpt(a, b) T then the two assignments (points) a, b are compatible and {a, b} is a compatibility In a In a CSP instance the aim is to determine the existence pattern, the compatibility of a pair of points a, b such that of an assignment of values to variables such that a set var(a) var(b) and (a, b) / E is undefined. A fundamental research question is the identification of tractable subproblems A binary CSP instance is a pattern ใ€ˆV, A, var, E, cptใ€‰ of CSP.


Prime Normal Forms in Belief Merging

AAAI Conferences

The aim of Belief Merging is to aggregate possibly conflicting pieces of information issued from different sources. The quality of the resulting set is usually considered in terms of a closeness criterion between the resulting belief set and the initial belief sets. The notion of distance between belief sets is thus a crucial issue when we face the merging problem. The aim of this paper is twofold: introducing a syntactical way to calculate distances and proposing the use of a distance based on prime implicants and prime implicates that considers the importance of each propositional symbol in the belief set.


Testing Analogical Proportions with Google using Kolmogorov Information Theory

AAAI Conferences

Analogical reasoning is considered as one of the main mechanisms underlying creativity. "Thinking out of the box" allows the paradigm shift essential to a creative process. More common is the concept of analogical proportion ("2 is to 4 as 4 is to 8") which can be described within an algebraic framework. When it comes to concepts ("engine is to the car as heart is to the human"), we need to investigate a new way to understand this analogical ratio. In this paper, we take inspiration from the formal framework of information theory for proposing a new approach to the evaluation of analogy between concepts. Using Kolmogorov complexity as a backbone providing a clear semantics, we give a practical interpretation for analogy between words viewed as labeling concepts. Making use of Google as a linguistic resource, we provide an implementation of our definitions: experiments show that the accuracy of our definition is quite acceptable and justify the approach.