In this paper we propose a neural-symbolic architecture to representand reason with norms in multi-agent systems. On the one hand,the architecture contains a symbolic knowledge base to representnorms and on the other hand it contains a neural network to rea-son with norms. The interaction between the symbolic knowledgeand the neural network is used to learn norms. We describe howto handle normative reasoning issues like contrary to duties, dilem-mas and exceptions by using a priority-based ordering between thenorms in a neural-symbolic architecture.
Titolo: | Neural symbolic architecture for normative agents | |
Autori Riconosciuti: | ||
Autori: | Guido Boella; Silvano Colombo Tosatto; Artur S. d'Avila Garcez; Valerio Genovese; Dino Ienco; Leendert van der Torre: | |
Data di pubblicazione: | 2011 | |
Abstract: | In this paper we propose a neural-symbolic architecture to representand reason with norms in multi-agent systems. On the one hand,the architecture contains a symbolic knowledge base to representnorms and on the other hand it contains a neural network to rea-son with norms. The interaction between the symbolic knowledgeand the neural network is used to learn norms. We describe howto handle normative reasoning issues like contrary to duties, dilem-mas and exceptions by using a priority-based ordering between thenorms in a neural-symbolic architecture. | |
Editore: | Liz Sonenberg, Peter Stone, Kagan Tumer, Pinar Yolum | |
Titolo del libro: | 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Taipei, Taiwan, May 2-6, 2011, Volume 1-3 | |
Volume: | 1-3 | |
Pagina iniziale: | 1203 | |
Pagina finale: | 1204 | |
Nome del convegno: | Autonomous Agents and Multiagent Systems (AAMAS) 2011 | |
Luogo del convegno: | Taipei, Taiwan | |
Anno del convegno: | 02/05/11-06/05/11 | |
ISBN: | 9780982657157 | |
Parole Chiave: | Norms; Computational architectures for learning; Emergent behav-ior; Logic-based approaches and methods | |
Appare nelle tipologie: | 04A-Conference paper in volume |
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