A logical framework for default reasoning
Artificial Intelligence
Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
Propositional knowledge base revision and minimal change
Artificial Intelligence
What does a conditional knowledge base entail?
Artificial Intelligence
Nonmonotonic inference based on expectations
Artificial Intelligence
General patterns in nonmonotonic reasoning
Handbook of logic in artificial intelligence and logic programming (vol. 3)
A logical theory of nonmonotonic inference and belief change
A logical theory of nonmonotonic inference and belief change
Skepticism and floating conclusions
Artificial Intelligence
A Textbook of Belief Dynamics: Solutions to Exercises
A Textbook of Belief Dynamics: Solutions to Exercises
Making Beliefs Coherentl. The Subtraction and Addition Strategies.
Journal of Logic, Language and Information
Relations between the logic of theory change and nonmonotonic logic
Proceedings of the Workshop on The Logic of Theory Change
Dialogue game tree with nondeterministic additive consolidation
CLIMA VII'06 Proceedings of the 7th international conference on Computational logic in multi-agent systems
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A well known character of nonmonotonic reasoning is that it allows for multiple conclusion sets. Choice perspective selects one of the conclusions, and skeptical perspective uses the intersection of all of the conclusions. In this paper, we purchase a medium approach between the two perspective, i.e., it selects some conclusions and uses the intersection of them. Such an approach is very similar with partial meet approach to belief revision. Therefore, we will introduce a variation of Olsson's additive consolidation, which is one of the coherentist studies of belief revision, and consider it as an operation for the medium approach to nonmonotonic reasoning. Finally, using Nixon diamond example, we compare it with the skeptical perspective for the usual default logic.