The ability to handle exceptions, to perform iterated belief revision and to integrate information from multiple sources are essential skills for an intelligent agent. These important skills are related in the sense that they all rely on resolving inconsistent information. We develop a novel and useful strategy for conflict resolution, and compare and contrast it with existing strategies. Ideal...

A great deal of research has been devoted to nontrivial reasoning in inconsistent knowledge bases. Coherence-based approaches proceed by a consolidation operation which selects several consistent subsets of the knowledge base and an entailment operation which uses classical implication on these subsets in order to conclude. An important advantage of these formalisms is their flexibility : conso...

This paper addresses the problem of mitigating the order effects in incremental learning, a phenomenon observed when different ordered sequences of observations lead to different results. A modification of an ILP incremental learning system, with the aim of making it order-independent, is presented. A backtracking strategy on theories is incorporated in its refinement operators, which causes a ...

A general methodology for gray-box, or semi-physical, modeling is presented. This technique is intended to combine the best of two worlds: knowledge-based modeling , whereby mathematical equations are derived in order to describe a process, based on a physical (or chemical, biological, etc.) analysis, and black-box modeling, whereby a parameterized model is designed, whose parameters are estima...

In system modeling, knowledge management comes vividly into the picture when dealing with a collection of individual models. These models being considered as sources of knowledge, are engaged in some collective pursuits of a collaborative development to establish modeling outcomes of global character. The result comes in the form of a so-called granular fuzzy model, which directly reflects upon...

Covering arrays of strength two have been widely studied as combinatorial models of software interaction test suites for pairwise testing. While numerous algorithmic techniques have been developed for the generation of covering arrays with few columns (factors), the construction of covering arrays with many factors and few tests by these techniques is problematic. Random generation techniques c...

Agents that exist in an environment that changes over time, and are able to take into account the temporal nature of experience, are commonly called incremental learners. It is widely known that incremental learning systems suffer from order effects, a phenomenon observed when differently ordered sequences of examples lead to different results. The goal of this paper is presenting INTHELEXback,...

We present a framework for role-based knowledge management in a multiagent environment. Our approach focuses on roles which are carried out by rational agents. The use of roles for knowledge management, which is orthogonal to the organizational entity represented by an agent, reduces the computational cost of reasoning and simplifies the agent model. Our approach and illustrative examples are c...