
arXiv: cs/0202018
Tarski gave a general semantics for deductive reasoning: a formula a may be deduced from a set A of formulas iff a holds in all models in which each of the elements of A holds. A more liberal semantics has been considered: a formula a may be deduced from a set A of formulas iff a holds in all of the "preferred" models in which all the elements of A hold. Shoham proposed that the notion of "preferred" models be defined by a partial ordering on the models of the underlying language. A more general semantics is described in this paper, based on a set of natural properties of choice functions. This semantics is here shown to be equivalent to a semantics based on comparing the relative "importance" of sets of models, by what amounts to a qualitative probability measure. The consequence operations defined by the equivalent semantics are then characterized by a weakening of Tarski's properties in which the monotonicity requirement is replaced by three weaker conditions. Classical propositional connectives are characterized by natural introduction-elimination rules in a nonmonotonic setting. Even in the nonmonotonic setting, one obtains classical propositional logic, thus showing that monotonicity is not required to justify classical propositional connectives.
28 pages. Misprint corrected 15/04/02
FOS: Computer and information sciences, Logic in artificial intelligence, Computer Science - Logic in Computer Science, I.2.3, nonmonotonic logics, Computer Science - Artificial Intelligence, weak monotony, quality measure, Mathematics - Logic, Other nonclassical logic, consequence operations, nonmonotonic reasoning, Logic in Computer Science (cs.LO), Artificial Intelligence (cs.AI), FOS: Mathematics, Logic (math.LO), generalization of Tarski's semantics
FOS: Computer and information sciences, Logic in artificial intelligence, Computer Science - Logic in Computer Science, I.2.3, nonmonotonic logics, Computer Science - Artificial Intelligence, weak monotony, quality measure, Mathematics - Logic, Other nonclassical logic, consequence operations, nonmonotonic reasoning, Logic in Computer Science (cs.LO), Artificial Intelligence (cs.AI), FOS: Mathematics, Logic (math.LO), generalization of Tarski's semantics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 29 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
