The Algebraic Mind: Integrating Connectionism and Cognitive ScienceMIT Press, 2003 M01 24 - 242 páginas In The Algebraic Mind, Gary Marcus attempts to integrate two theories about how the mind works, one that says that the mind is a computer-like manipulator of symbols, and another that says that the mind is a large network of neurons working together in parallel. Resisting the conventional wisdom that says that if the mind is a large neural network it cannot simultaneously be a manipulator of symbols, Marcus outlines a variety of ways in which neural systems could be organized so as to manipulate symbols, and he shows why such systems are more likely to provide an adequate substrate for language and cognition than neural systems that are inconsistent with the manipulation of symbols. Concluding with a discussion of how a neurally realized system of symbol-manipulation could have evolved and how such a system could unfold developmentally within the womb, Marcus helps to set the future agenda of cognitive neuroscience. |
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Contenido
Chapter | 7 |
Architecture | 25 |
Instances | 50 |
Chapter 4 | 82 |
Substrate | 95 |
Chapter 5 | 119 |
Chapter 6 | 143 |
Chapter 7 | 169 |
Glossary | 185 |
Name Index | 211 |
Otras ediciones - Ver todas
The Algebraic Mind: Integrating Connectionism and Cognitive Science Gary F. Marcus Vista previa limitada - 2019 |
The Algebraic Mind: Integrating Connectionism and Cognitive Science Gary F. Marcus Sin vista previa disponible - 2003 |
The Algebraic Mind: Integrating Connectionism and Cognitive Science Gary Fred Marcus Sin vista previa disponible - 2001 |
Términos y frases comunes
ability abstract relationships activation value algorithm architecture back-propagation binary binding brain capture cells chapter cognitive architecture Cognitive Science complex computational connection weights connectionism connectionist models delta rule distinction distributed representations elements Elman encoding entities example experience fact Figure function genes given hidden layer hidden nodes hidden units Hinton human implemented infants inflection innate input node input units instance instantiations kinds learning localist machinery Marcus McClelland mechanisms mental representations multilayer perceptrons Nakisa network Feedforward network neural substrate neurons nouns novel object permanence one-to-one operations over variables output node output units particular past tense phonetic Phonology Phonology Phonology Pinker Plunkett possible predicate problem propositions recursive registers regular verbs relationships between variables repre rules Rumelhart scheme semantic networks sentence sentence-prediction network Shastri simple recurrent network Spelke structure suggest symbol-manipulation symbols target temporal synchrony tensor product tion track individuals training independence treelets UQOTOM word Zavy