Home /Research /What should be computed to understand and model brain function? : from robotics, soft computing, biology and neuroscience to cognitive philosophy
LEARNING

What should be computed to understand and model brain function? : from robotics, soft computing, biology and neuroscience to cognitive philosophy

直 喜多村

Year
2001
Citations
2

Abstract

Consideration of emotion model and primitive language of robots, T. Ogata and S. Sugano an architecture for animal-like behaviour selection, T. Kitamura a computation literary theory -the ultimate products of the brain/mind machine, A. Tokosumi cooperation between neural networks within the brain, M. Dufosse et al brain-like functions in evolving connectionist systems for on-line, knowledge-based learning, N. Kasabov interrelationships, communication, semiotics and artificial consciousness, H.-N.L. Teodorescu time emerges from incomplete clock, based on internal measurement, Y.-P. Gunji et al the logical jump in shell changing in hermit crab and tool experiment in ants, M. Kitabayashi et al the neurobiology of semantics - how can machines be designed to have meanings, W.J. Freeman the emergence of contentful experience, M.H. Bickhard intentionality and foundations of logic - a new approach to neurocomputation, G. Basti.

Keywords

ConnectionismCognitive scienceArtificial intelligenceConsciousnessCognitionSemantics (computer science)Computer scienceIntentionalitySemioticsRobot

Related papers

Browse all LEARNING papers