Semantical considerations on nonmonotonic logic
Artificial Intelligence
Applications of circumscription to formalizing common-sense knowledge
Artificial Intelligence
Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
General patterns in nonmonotonic reasoning
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Reasoning about priorities in default logic
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
ACM Computing Surveys (CSUR)
A semantical approach to method-call interception
AOSD '02 Proceedings of the 1st international conference on Aspect-oriented software development
An argument-based approach to reasoning with specificity
Artificial Intelligence
Complexity of argument-based default reasoning with specificity
AI Communications
Verifying aspect advice modularly
Proceedings of the 12th ACM SIGSOFT twelfth international symposium on Foundations of software engineering
Aspect-oriented programming and modular reasoning
Proceedings of the 27th international conference on Software engineering
Conference record of the 33rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Well-founded semantics for extended logic programs with dynamic preferences
Journal of Artificial Intelligence Research
Open modules: modular reasoning about advice
ECOOP'05 Proceedings of the 19th European conference on Object-Oriented Programming
Enforcing behavioral constraints in evolving aspect-oriented programs
Proceedings of the 7th workshop on Foundations of aspect-oriented languages
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Nonmonotonic logic is a branch of logic that has been developed to model situations with incomplete information. We argue that there is a connection between AOP and nonmonotonic logic which deserves further study. As a concrete technical contribution and "appetizer", we outline an AO semantics defined in default logic (a form of nonmonotonic logic), propose a definition of modular reasoning, and show that the default logic version of the language semantics admits modular reasoning whereas a conventional language semantics based on weaving does not.