By Alejandro G. Stankevicius, Marcela Capobianco (auth.), Leliane N. Barros, Marcelo Finger, Aurora T. Pozo, Gustavo A. Gimenénez-Lugo, Marcos Castilho (eds.)
This ebook constitutes the refereed lawsuits of the twenty first Brazilian Symposium on synthetic Intelligence, SBIA 2012, held in Curitiba, Brazil, in October 2012. The 23 revised complete papers offered have been conscientiously reviewed and chosen from eighty one submissions. The papers disguise the subsequent subject matters: wisdom illustration, computer studying, computer studying and machine imaginative and prescient, agent-based and multi-agent structures, robotics and language, in addition to constraints.
Read Online or Download Advances in Artificial Intelligence - SBIA 2012: 21th Brazilian Symposium on Artificial Intelligence, Curitiba, Brazil, October 20-25, 2012. Proceedings PDF
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Additional info for Advances in Artificial Intelligence - SBIA 2012: 21th Brazilian Symposium on Artificial Intelligence, Curitiba, Brazil, October 20-25, 2012. Proceedings
A (1977) ´ 3. : A Constru¸c˜ ao do Real na Crian¸ca. Editora Atica, 3a ed, 1996. Original: La Construction du R´eel chez l’enfant. , 3a ed (1977) 4. : A Forma¸c˜ ao do S´ımbolo na Crian¸ca: imita¸c˜ ao, jogo e sonho, imagem e representa¸c˜ ao. Editora LTC, 3a ed, 1990. Original: La Formation du Symbole chez L’enfant: Imitation, Jeu et Rˆeve, Image et Repr´esentation. , 3a ed (1964) Sensorimotor Domain Approach for Artiﬁcial ACD 31 5. : O Desenvolvimento do Pensamento - Equilibra¸c˜ ao das Estruturas Cognitivas.
In Piaget’s theory, schemata2 are the basic cognitive units used to compose a schemata network. Schemata coordinate with other schemata to form the connected network at the ﬁrst level. Also, schemata are the basis units used to compose a second and a third level of a hierarchical cognitive system that Piaget uses to explain the development of intelligence. . Both the schema theory and the ACD paradigm assume the agent has no need to have prior knowledge about the environment it is inserted in.
The agent always throws the ball at the same ﬁxed angle. The agent has two sensors s and g and one actuator a, where s, g, a ∈ B = [−1, +1] ⊂ R. Fig. 1. Ilustration problem scenario The schema is only connected to agent sensor s and to actuator a. Sensor s informs the distance between the agent and the center of the basket. Sensor g indicates if the ball hit the basket or not. Actuator a indicates the ball initial velocity. The distance between the agent and the basket is normalized to the range [−1, +1], where −1 means distance 0 (zero) and +1 indicates the maximum distance.