Evolving algebras 1993: Lipari guide
Specification and validation methods
On the logic of iterated belief revision
Artificial Intelligence
Characterizing the principle of minimum cross-entropy within a conditional-logical framework
Artificial Intelligence
Background and Perspectives of Possibilistic Graphical Models
ECSQARU/FAPR '97 Proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning
Focusing vs. Belief Revision: A Fundamental Distinction When Dealing with Generic Knowledge
ECSQARU/FAPR '97 Proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning
A Thorough Axiomatization of a Principle of Conditional Preservation in Belief Revision
Annals of Mathematics and Artificial Intelligence
A Verified AsmL Implementation of Belief Revision
ABZ '08 Proceedings of the 1st international conference on Abstract State Machines, B and Z
Qualitative Knowledge Discovery
Semantics in Data and Knowledge Bases
Algebraic knowledge discovery using haskell
PADL'07 Proceedings of the 9th international conference on Practical Aspects of Declarative Languages
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We develop a high-level ASM specification for the CONDOR system that provides powerful methods and tools for managing knowledge represented by conditionals. Thereby, we are able to elaborate crucial interdependencies between different aspects of knowledge representation, knowledge discovery, and belief revision. Moreover, this specification provides the basis for a stepwise refinement development process of the CONDOR system based on the ASM methodology.