Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Artificial Intelligence And Psychology Project."'
Autor:
J. L. McClelland, J. R. Movellan
This paper presents a method for training connectional networks that adhere to the principles of graded, random, adaptive, and interactive propagation of information (GRAIN). While our analysis has bee motivated by our desire to find a learning algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa553542fe3c4254e1c1403b9dcd84e0
https://doi.org/10.21236/ada242210
https://doi.org/10.21236/ada242210
"A parallel distributed processing model is described that learns to comprehend single clause sentences. Specifically, it assigns thematic roles to sentence constituents, disambiguates ambiguous words, instantiates vague words, and elaborates implied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::338ebd8ec91cfa3ed11349fb6fb70e55
"Currently the most popular learning algorithm for connectionist networks is the generalized delta rule (GDR) developed by Rumelhart, Hinton & Williams (1986). The GDR learns by performing gradient descent on the error surface in weight space whose h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ead68b6ebae60ede684197f32a0a1a9
"This paper is part of a program of research aimed at understanding the processes of scientific discovery by constructing computer programs that are capable of making discoveries and that simulate, at a grosser or finer level of approximation, the pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6676a8b479937dc6e281df5b7825b8a2
"Soar is an architecture for intelligence that integrates learning into all of its problem-solving behavior. The learning mechanism, chunking, has been studied experimentally in a broad range of tasks and situations. This paper summarizes the researc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c0a4b84f0b46bfdcb22b9ff3d4cebed
"Learning as a function of task complexity was examined in human learning and two connectionist simulations. An example task involved learning to map basic input/output digital logic functions for six digital gates (AND OR, XOR and negated versions)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac1caa3d7d57cc59c3f4ff9b1972ecfe
"Intelligence is closely related with adaptivity -- with problem-solving, learning, and evolution. A science of intelligent systems has to be a science of adaptive systems, with all which that entails for the difficulty of finding genuine invariants.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61b3c7e08481a57d268be806dd582e11
Department of Psychology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b2fc9a23ee704da040c23964efcef26
"Hierarchical knowledge structures are pervasive in Artificial Intelligence, yet very little is understood about how such structures may be effectively acquired. One way to represent the hierarchical component of knowledge structures is to use gramma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::697add72cebd48ad3af6c356f997bca5
"We define five properties of symbol representations (called the Five M's) that together provide a powerful and flexible symbol processing facility. Our ideal symbol structures are Mobile, Memorable, Meaningful, Malleable, and Modifiable. Conventiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bdf1ccb0a3f36842b11acdeb4449978