By Vinicius Oliverio, Estevam R. Hruschka Jr. (auth.), Juan Pavón, Néstor D. Duque-Méndez, Rubén Fuentes-Fernández (eds.)
This ebook constitutes the refereed complaints of the thirteenth Ibero-American convention on synthetic Intelligence, IBERAMIA 2012, held in Cartagena de Indias, Colombia, in November 2012. The seventy five papers awarded have been conscientiously reviewed and chosen from one hundred seventy submissions. The papers are prepared in topical sections on wisdom illustration and reasoning, info and data processing, wisdom discovery and knowledge mining, computer studying, bio-inspired computing, fuzzy structures, modelling and simulation, ambient intelligence, multi-agent structures, human-computer interplay, normal language processing, machine imaginative and prescient and robotics, making plans and scheduling, AI in schooling, and data engineering and applications.
Read Online or Download Advances in Artificial Intelligence – IBERAMIA 2012: 13th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 13-16, 2012. Proceedings PDF
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Extra info for Advances in Artificial Intelligence – IBERAMIA 2012: 13th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 13-16, 2012. Proceedings
Another possibility is to implement a method to name the created subcategories in a human readable way. Also, we intend to show in a long term experiment how other two proposed methods for solving contradictions can beneﬁt the method shown in this paper and help NELL to keep its KB free from contradictions in the long term run. References 1. : Prophet – A Link-Predictor to Learn New Rules on NELL. In: 11th IEEE International Conference on Data Mining Workshops (ICDMW 2011), pp. 917–924. IEEE (2011) 2.
Edu/), this version of the KB have received “shallow” human supervision to correct inconsistencies and mistakes, thus, we do not expect to ﬁnd a great number of contradictions in these experiments. What we do intend, however, is to show that our method can help ﬁnding contradictions that were not found by the “shallow” human supervision periodically performed on NELL’s KB. In the proposed experiments, NELL’s KB was retrieved with all information and all the rules generated by the rule learner RL.
ACL (2008) 18. : Discovering Contradicting Protein-Protein Interactions in Text. In: 2007 Biological, Translational, and Clinical Language Processing Workshop (BioNLP 2007), pp. 195–196. ACL (2007) 19. : Contradictions and Justiﬁcations – Extensions to the Textual Entailment Task. In: 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL 2008: HLT), pp. 63–71. F. mx Abstract. Go gaming automation is AI relevant because during a match the search space is enormous and the game tree size is around10360, versus the 10123 for Chess.