tailieunhanh - Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 2

Tham khảo tài liệu 'artificial mind system – kernel memory approach - tetsuya hoya part 2', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | List of Abbreviations XXI SVD SVM TDNN UR US XOR Singular Value Decomposition Support Vector Machine Time Delay Neural Network Unconditioned Response Unconditioned Stimuli eXclusive OR 10 Modelling Abstract Notions Relevant to the Mind and the Associated Modules Perspective This chapter is devoted to the remaining four modules within the AMS . 1 attention 2 emotion 3 intention and 4 intuition module and their mutual interactions with the other associated modules. Then the four modules so modelled represent the respective abstract notions related to the mind. Modelling Attention In the late nineteenth century the psychologist William James wrote James 1890 Everyone knows what attention is. It is the taking possession by the mind in clear and vivid form of one out of what seem several simultaneously possible objects or trains of thought. Focalization concentration of consciousness are of its essence. It implies withdrawal from some things in order to deal effectively with others and is a condition which has a real opposite in the confused dazed scatterbrain state. and his general notion of attention after more than one hundred and fifteen years is still convincing in various modern studies relevant to general brain science such as cognitive neuroscience psychology Gazzaniga et al. 2002 . In psychology despite proposals of a variety of conceptual connectionist models for selective attention such as the selective attention model SLAM Phaf et al. 1990 multiple object recognition and attentional selection MORSEL Mozer 1991 Mozer and Sitton 1998 or selective attention for identification model SAIM Heinke and Humphreys in-press and for a survey of such connectionist models see Heinke and Humphreys in-press little has been reported for the development of concrete models of attention and their practical aspects. Tetsuya Hoya Artificial Mind System - Kernel Memory Approach Studies in Computational Intelligence SCI 1 189-235 2005 .