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Logics For Artificial Intelligence.

Authors: L. C. Aiello; E. Giunchiglia; Serafini, Luciano;

Logics For Artificial Intelligence.

Abstract

Logical languages were developed for humans, with the main objective of stating what is a correct argument. Artificial Intelligence (AI) provided a new motivation and application domain for logicians. The main demand of AI to logics is to provide a formal language, a semantics, and a set of proof procedures that allow us to represent the various aspects of knowledge, and to reason about it. AI artifacts, such as robots, agents, “intelligent” programs, etc. act in a (sometimes virtual) world, and take decisions on the basis of what they “know” about this world. Here the need arises to be able to represent and use knowledge. Hence, speaking of Logics for AI largely means speaking of “Knowledge Representation and Reasoning.”

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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