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1
Cross-situational learning of object-word mapping using neural modeling fields
Cross-situational learning of object-word mapping using neural modeling fields
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Artigo de Congresso 		Adicionar ao Meu Espaço

Cross-situational learning of object-word mapping using neural modeling fields

José Fernando Fontanari Vadim Tikhanoff; Angelo Cangelosi; Roman Ilin; Leonid I Perlovsky; International Joint Conference on Neural Networks - IJCNN (2009 Atlanta)

Neural Networks Oxford v. 22, n. 5/6, p. 579-585, July/Aug. 2009

Oxford Pergamon-Elsevier Science 2009

Localização: IFSC - Inst. Física de São Carlos    (PROD016248 ) e outros locais(Acessar)

2
Language and cognition integration through modeling field theory category formation for symbol grounding
Language and cognition integration through modeling field theory category formation for symbol grounding
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Artigo de Congresso 		Adicionar ao Meu Espaço

Language and cognition integration through modeling field theory category formation for symbol grounding

Vadim Tikhanoff José Fernando Fontanari; Angelo Cangelosi; Leonid I Perlovsky; International Conference Artificial Neural Networks - ICANN (16. 2006 Atenas)

Lecture Notes in Computer Science Berlin v. 4131, p. 376-385, 2006

Berlin Springer-Verlag 2006

Localização: IFSC - Inst. Física de São Carlos    (PROD013082 ) e outros locais(Acessar)

3
Scaling up of action repertoire in linguistic cognitive agents
Scaling up of action repertoire in linguistic cognitive agents
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Artigo de Congresso 		Adicionar ao Meu Espaço

Scaling up of action repertoire in linguistic cognitive agents

Vadim Tikhanoff Angelo Cangelosi; José Fernando Fontanari; Leonid I Perlovsky; International Conference on Integration of Knowledge Intensive Multi-Agente Systems - KIMAS (2007 Waltham)

Proceedings Piscataway : IEEE Institute of Electrical and Eletronics Engineers, 2007

Piscataway IEEE Institute of Electrical and Eletronics Engineers 2007

Localização: IFSC - Inst. Física de São Carlos    (PROD013400 ) e outros locais(Acessar)

4
A cross-situational algorithm for learning a lexicon using neural modeling fields
A cross-situational algorithm for learning a lexicon using neural modeling fields
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

A cross-situational algorithm for learning a lexicon using neural modeling fields

José Fernando Fontanari Vadim Tikhanoff; Angelo Cangelosi; Leonid I Perlovsky; International Joint Conference on Neural Networks - IJCNN (2009 Atlanta)

IEEE International Joint Conference on Neural Networks. Proceedings New York p. 869-876, 2009

New York Institute of Electrical and Electronics Engineers - IEEE 2009

Localização: IFSC - Inst. Física de São Carlos    (PROD016247 ) e outros locais(Acessar)

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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