Computational Humor

Computational humor is a branch of computational linguistics and artificial intelligence which uses computers in humor research. It is not to be confused with computer humor (i.e., jokes about computers, programmers, users, and computing).

It is a relatively new area, with the first dedicated conference organized in 1996.

Nevertheless, the first "computer model of a sense of humor" was suggested by Arthur Suslov as early as 1992. Investigation of the general scheme of the information processing show a possibility of a specific malfunction, conditioned by the necessity of a quick deletion from consciousness of a false version. This specific malfunction can be identified with a humorous effect on the psychological grounds; however, an essentially new ingredient, a role of timing, is added to a well known role of ambiguity. In biological systems, a sense of humor inevitably develops in the course of evolution, because its biological function consists in quickening the transmission of processed information into consciousness and in a more effective use of brain resources. A realization of this algorithm in neural networks explains naturally the mechanism of laughter: deletion of a false version corresponds to zeroing of some part of the neural network and excessive energy of neurons is thrown out to the motor cortex, arousing muscular contractions. Unfortunately, a practical realization of this algorithm needs extensive databases, whose creation in the automatic regime was suggested only recently . As a result, this magistral direction was not developed properly and subsequent investigations (see below) accepted somewhat specialized coloring.

Read more about Computational Humor:  Joke Recognition, Applications, Related Research

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