A Sparse Distributed Memory (SDM) is a kind of associative memory suitable to work with high-dimensional vectors of random data. This memory model is attractive for Robotics and Artificial Intelligence, for it is able to mimic many characteristics of the human long-term memory. However, sensorial data is not always random: most of the times it is based on the Natural Binary Code (NBC) and tends...

This paper describes the integration of several cognitively inspired anticipation and anticipatory learning mechanisms in an autonomous agent architecture, the Learning Intelligent Distribution Agent (LIDA) system. We provide computational mechanisms and experimental simulations for variants of payoff, state, and sensorial anticipatory mechanisms. The payoff anticipatory mechanism in LIDA is im...

The authors investigated age-related differences in phenomenal characteristics of autobiographical memories for positive, negative, and neutral events. Younger and older participants were asked to recall two specific memories of each type and then to rate their memories on several sensorial (e.g., visual, taste) and contextual (e.g., location, time) characteristics. The authors found that emoti...

O estudo se refere a importância do marketing sensorial e como ele influência na decisão de compra público idoso. Possui objetivo geral analisar por pessoas idosas no município Santa Maria. A justificativa deste deve ao fato que o mercado está cada vez mais disputado e, as empresas devem compreender os sentidos afetam consumidores para não percam seus clientes atraiam novos. metodologia caracte...