The Challenge of Anticipation A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems /
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oai:localhost:123456789-2115402023-07-17T15:11:33Z The Challenge of Anticipation A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems / Pezzulo, Giovanni Butz, Martin V. Castelfranchi, Cristiano Falcone, Rino SpringerLink (Online service) Computação. Inteligência artificial. Simulação (Computadores). 0 2022-10-11T17:20:25Z 2022-10-11T17:20:25Z 2008. Digital 004 C437 9783540877028 196771 http://dx.doi.org/10.1007/978-3-540-87702-8 http://dx.doi.org/10.1007/978-3-540-87702-8 |
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Computação. Inteligência artificial. Simulação (Computadores). |
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Computação. Inteligência artificial. Simulação (Computadores). Pezzulo, Giovanni Butz, Martin V. Castelfranchi, Cristiano Falcone, Rino SpringerLink (Online service) The Challenge of Anticipation A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems / |
description |
|
format |
Digital |
author |
Pezzulo, Giovanni Butz, Martin V. Castelfranchi, Cristiano Falcone, Rino SpringerLink (Online service) |
author_facet |
Pezzulo, Giovanni Butz, Martin V. Castelfranchi, Cristiano Falcone, Rino SpringerLink (Online service) |
author_sort |
Pezzulo, Giovanni |
title |
The Challenge of Anticipation A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems / |
title_short |
The Challenge of Anticipation A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems / |
title_full |
The Challenge of Anticipation A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems / |
title_fullStr |
The Challenge of Anticipation A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems / |
title_full_unstemmed |
The Challenge of Anticipation A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems / |
title_sort |
challenge of anticipation a unifying framework for the analysis and design of artificial cognitive systems / |
publishDate |
2022 |
url |
http://dx.doi.org/10.1007/978-3-540-87702-8 |
work_keys_str_mv |
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