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Author  |
BRYSON, JOANNA J. | ||||
| Title | EVIDENCE OF MODULARITY FROM PRIMATE ERRORS DURING TASK LEARNING | Type | Conference Volume | ||
| Year | Publication | MODELING LANGUAGE, COGNITION AND ACTION | Abbreviated Journal | ||
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| Abstract | The last two decades have seen a great deal of theorising and speculation about the modular nature of human intelligence, as well as a rise in use of modular architectures in artificial intelligence. Nevertheless, whether such models of natural intelligence are well supported is still an issue of debate. In this paper, I propose that the most important criteria for modularity is specialised representations. I present a modular model of primate learning of the transitive inference task, and propose an extension to this model which would explain task-learning results in other domains. I also briefly relate this work to both neuroscience and established AI learning architectures. |
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| Notes | Approved | no | |||
| Call Number | refbase @ user @ | Serial | 605 | ||
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