Epistemological Intelligence

Epistemological Problems of Artificial Intelligence

In (McCarthy and Hayes 1969), we proposed dividing the artificial intelligence problem into two parts—an epistemological part and a heuristic part. This lecture further explains this division, explains some of the epistemological problems, and presents some new results and approaches. The epistemological part of AI studies what kinds of facts about the world are available to an observer with gi...

Elementary epistemological features of machine intelligence

Theoretical analysis of machine intelligence (MI) is useful for defining a common platform in both theoretical and applied artificial intelligence (AI). The goal of this paper is to set canonical definitions that can assist pragmatic research in both strong and weak AI. Described epistemological features of machine intelligence include relationship between intelligent behavior, intelligent and ...

Epistemological status

It is widely held, by social scientists as well as by lay people, that the members of human groups have an "innate" propensity to distinguish between insiders and outsiders, to delineate social boundaries and to develop stereotypes about "the other" in order to sustain and justify these boundaries. If this is indeed the case, ethnicity can be conceived of as being nearly as universal a characte...

Epistemological Investigations into the Foundations of Artificial Intelligence Rainer P . Born , Linz

After introducing the reader to Turing's version of Church's thesis, i.e. the thesis of computation, 1 D. Hofstadter formulates the following questions as motivation for his book: 2 "Here one runs up against a seeming paradox. Computers by their very nature are the most inflexible, desire-less, rule-following beasts. Fast though they may be, they are nonethe less the epitome of unconscious ness...

Epistemological Error