By Alejandro G. Stankevicius, Marcela Capobianco (auth.), Leliane N. Barros, Marcelo Finger, Aurora T. Pozo, Gustavo A. Gimenénez-Lugo, Marcos Castilho (eds.)
This publication constitutes the refereed court cases of the twenty first Brazilian Symposium on man made Intelligence, SBIA 2012, held in Curitiba, Brazil, in October 2012. The 23 revised complete papers offered have been rigorously reviewed and chosen from eighty one submissions. The papers conceal the subsequent subject matters: wisdom illustration, computer studying, desktop studying and desktop imaginative and prescient, agent-based and multi-agent structures, robotics and language, in addition to constraints.
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Extra resources for Advances in Artificial Intelligence - SBIA 2012: 21th Brazilian Symposium on Artificial Intelligence, Curitiba, Brazil, October 20-25, 2012. Proceedings
Santos and V. Furtado We also used a D2R Server to maintain the map ontology. Thus, for each marker created in the authoring tool, SeMaps creates an entry in this table and a mapping in D2RQ helps to automatically update the ontology. To exemplify how the knowledge represented on a crowd map generated from Wikimapps works, let’s assume that a designer wants to create a map of politicians of a certain region. In order to associate semantics to the markers, Wikimapps was prepared to call the services for semantic characterization and concept creation of SeMaps.
We will focus in just one moment of time (a time tick) in the schema execution herein to try to characterize the properties the schema should have to ﬁt in ACD and ZSCC prerogatives. To do so, ﬁrst we will describe the agent and schema properties. The agent has sensors and actuators to interact with its environment. Let S¯ be the set of all agent sensor states and A¯ be the set of all agent actuator states. In the same way the sensorimotor schema has its own sensors and actuators which are taken from the agent’s sensorimotor apparatus.
ICRA (1987) 7. : Made-Up Minds: A Constructivist Approach to Artiﬁcial Intelligence. The MIT Press (1991) 8. : PAL: A Constructivist Model of Cognitive Activity. In: Proc. Int. Conf. on New Trends in Cognitive Science: Does Representation Need Reality? Viena, Autria (1997) 9. : Schema Learning: Experience-based Construction of Predictive Action Models. In: Advances in Neural Information Processing Systems, vol. 17 (2005) 10. : Um Modelo Operat´ orio para Constru¸c˜ ao de Conhecimento. Tese (doutorado) - Universidade Federal de Santa Catarina, Florian´ opolis, BR - SC (1993) 11.
Advances in Artificial Intelligence - SBIA 2012: 21th Brazilian Symposium on Artificial Intelligence, Curitiba, Brazil, October 20-25, 2012. Proceedings by Alejandro G. Stankevicius, Marcela Capobianco (auth.), Leliane N. Barros, Marcelo Finger, Aurora T. Pozo, Gustavo A. Gimenénez-Lugo, Marcos Castilho (eds.)