Philosophy Dictionary of ArgumentsHome
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| Neural networks: Neural networks are computational models inspired by the human brain, designed to recognize patterns and solve complex problems. They consist of layers of interconnected nodes (analogous to neurons) that process input data and learn to perform tasks by adjusting the strength of connections based on feedback. Used extensively in machine learning, they enable applications like image recognition, language processing, and predictive analysis. See also Artificial Neural networks, Connectionism, Computer models, Computation, Artificial Intelligence, Machine learning._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. | |||
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David E. Rumelhart on Neural Networks - Dictionary of Arguments
Corr I 475 Neural Networks/Rumelhart/McClelland/Shoda/Smith: [Rumelhart and McClelland developed] recent information-processing, connectionist and neural network models in areas such as perception, social cognition and cognitive neuroscience (Read and Miller 1998(1); Rumelhart and McClelland 1986(2)). Such models focus on organized networks of cognitive-affective processing units whose interconnections form a unique net-work. This network functions as an organized whole and its units are activated by the specific features of the situation that are being processed and interpreted by the individual. >Social Cognition/Shoda/Smith. 1. Read, S. J. and Miller, L. C. (eds.) 1998. Connectionist and PDP models of social reasoning and social behaviour. Hillsdale, NJ: Erlbaum 2. Rumelhart, D.E. and McClelland, J.L. 1986. Parallel distributed processing: explorations in the microstructure of cognition, vols. I and II. Cambridge, MA: MIT Ronald E. Smith and Yuichi Shoda, “Personality as a cognitive-affective processing system“, in: Corr, Ph. J. & Matthews, G. (eds.) 2009. The Cambridge Handbook of Personality Psychology. New York: Cambridge University Press_____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition. |
Rumelhart, David E. Corr I Philip J. Corr Gerald Matthews The Cambridge Handbook of Personality Psychology New York 2009 Corr II Philip J. Corr (Ed.) Personality and Individual Differences - Revisiting the classical studies Singapore, Washington DC, Melbourne 2018 |
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> Counter arguments against Rumelhart
> Counter arguments in relation to Neural Networks
Ed. Martin Schulz, access date 2024-04-28