By Alejandro G. Stankevicius, Marcela Capobianco (auth.), Leliane N. Barros, Marcelo Finger, Aurora T. Pozo, Gustavo A. Gimenénez-Lugo, Marcos Castilho (eds.)

ISBN-10: 3642344585

ISBN-13: 9783642344589

ISBN-10: 3642344593

ISBN-13: 9783642344596

This booklet constitutes the refereed complaints of the twenty first Brazilian Symposium on man made Intelligence, SBIA 2012, held in Curitiba, Brazil, in October 2012. The 23 revised complete papers provided have been conscientiously reviewed and chosen from eighty one submissions. The papers conceal the subsequent issues: wisdom illustration, computing device studying, desktop studying and desktop imaginative and prescient, agent-based and multi-agent platforms, robotics and language, in addition to constraints.

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Extra info for Advances in Artificial Intelligence - SBIA 2012: 21th Brazilian Symposium on Artificial Intelligence, Curitiba, Brazil, October 20-25, 2012. Proceedings

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In these systems, the digital map works as a blackboard for accommodating stories told by people about events they want to share with others typically participating in their social networks. SeMaps offers an environment for the creation and maintenance of sites based on crowd maps with the possibility for the user to characterize semantically that which s/he intends to mark on the map. The designer of a crowd map, by informing a linguistic expression that designates what has to be marked on the maps, is guided in a process that aims to associate a concept from a commonsense base to this linguistic expression.

Sensorimotor Domain Approach for Artificial ACD 29 Both schema implementations use only s and a for data training. Agent sensor g is reserved to indicate when the schema goal is achieved. The approaches were implemented using feed-forward neural networks (FFNNs), as ilustrated in figure 2. Fig. 2. Sensorimotor functional (a) and domain (b) generic implementations using feed-forward networks. Both implementations use n sensors and m actuators. Functional Approach Implementation: The mathematical model used to implement the functional approach is given by: a = f (s) if g ≥ 0, f : B → B The schema was implemented with a feed-forward neural network (FFNN) with 1 input (sensor s), 6 units in the hidden layer and 1 output (actuator a).

Sensorimotor functional (a) and domain (b) generic implementations using feed-forward networks. Both implementations use n sensors and m actuators. Functional Approach Implementation: The mathematical model used to implement the functional approach is given by: a = f (s) if g ≥ 0, f : B → B The schema was implemented with a feed-forward neural network (FFNN) with 1 input (sensor s), 6 units in the hidden layer and 1 output (actuator a). 1. If g ≥ 0 then the FFNN is trained with s as input an a as output.

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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.)


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