Quantification without variables in connectionism

Autor:	Kankanahalli Srinivas, John A. Barnden
Rok vydání:	1996
Předmět:	Philosophy of science Computer science business.industry Inference computer.software_genre Expressive power Philosophy Connectionism Artificial Intelligence Embodied cognition Theory of computation Artificial intelligence Combinatory logic business computer Natural language processing Sentence
Zdroj:	Minds and Machines. 6:173-201
ISSN:	1572-8641 0924-6495
DOI:	10.1007/bf00391285
Popis:	Connectionist attention to variables has been too restricted in two ways. First, it has not exploited certain ways of doing without variables in the symbolic arena. One variable-avoidance method, that of logical combinators, is particularly well established there. Secondly, the attention has been largely restricted to variables in long-term rules embodied in connection weight patterns. However, short-lived bodies of information, such as sentence interpretations or inference products, may involve quantification. Therefore short-lived activation patterns may need to achieve the effect of variables. The paper is mainly a theoretical analysis of some benefits and drawbacks of using logical combinators to avoid variables in short-lived connectionist encodings without loss of expressive power. The paper also includes a brief survey of some possible methods for avoiding variables other than by using combinators.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7e0bb116cde5295da2a9c91d94ca6072 https://doi.org/10.1007/bf00391285 Zobrazit plný text záznamu Full text from SpringerLink