It is time that Computational Humor is perceived as a field that can deliver something useful. The current dynamics of research support, for good or for bad, is based on the prospect that the research themes are conducive to practical results in more or less short terms. In the field of information technology, generally there is an especially limited amount of patience for the first visible outcome of research activity. Another element for pushing toward some concrete results is, on the other side, that by means of those constructive experiences we, ourselves, can become more aware of problems and necessities. Besides anything else we believe there are real opportunities out there, which not always require complete modeling of humor processes. We are convinced that deep modeling of humor in all of its facets is not something for the near future; the phenomena are too complex, humor is one of the most sophisticated forms of human intelligence. It is AI-complete: the problem of modeling it is as diffcult to solve as the most dicult Artificial Intelligence problems. But some steps can be followed to achieve results. And when something is realized we can note that humor has the methodological advantage (unlike, say, computer art) of leading to more directly falsifiable theories: the resulting humorous artifacts can be tested on human subjects in a rather straightforward manner
Computational Humor and Prospects for Advertisements
Stock, Oliviero;Strapparava, Carlo
2003-01-01
Abstract
It is time that Computational Humor is perceived as a field that can deliver something useful. The current dynamics of research support, for good or for bad, is based on the prospect that the research themes are conducive to practical results in more or less short terms. In the field of information technology, generally there is an especially limited amount of patience for the first visible outcome of research activity. Another element for pushing toward some concrete results is, on the other side, that by means of those constructive experiences we, ourselves, can become more aware of problems and necessities. Besides anything else we believe there are real opportunities out there, which not always require complete modeling of humor processes. We are convinced that deep modeling of humor in all of its facets is not something for the near future; the phenomena are too complex, humor is one of the most sophisticated forms of human intelligence. It is AI-complete: the problem of modeling it is as diffcult to solve as the most dicult Artificial Intelligence problems. But some steps can be followed to achieve results. And when something is realized we can note that humor has the methodological advantage (unlike, say, computer art) of leading to more directly falsifiable theories: the resulting humorous artifacts can be tested on human subjects in a rather straightforward mannerI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.