8,601 research outputs found
Computational physics of the mind
In the XIX century and earlier such physicists as Newton, Mayer, Hooke, Helmholtz and Mach were actively engaged in the research on psychophysics, trying to relate psychological sensations to intensities of physical stimuli. Computational physics allows to simulate complex neural processes giving a chance to answer not only the original psychophysical questions but also to create models of mind. In this paper several approaches relevant to modeling of mind are outlined. Since direct modeling of the brain functions is rather limited due to the complexity of such models a number of approximations is introduced. The path from the brain, or computational neurosciences, to the mind, or cognitive sciences, is sketched, with emphasis on higher cognitive functions such as memory and consciousness. No fundamental problems in understanding of the mind seem to arise. From computational point of view realistic models require massively parallel architectures
A Review of Findings from Neuroscience and Cognitive Psychology as Possible Inspiration for the Path to Artificial General Intelligence
This review aims to contribute to the quest for artificial general
intelligence by examining neuroscience and cognitive psychology methods for
potential inspiration. Despite the impressive advancements achieved by deep
learning models in various domains, they still have shortcomings in abstract
reasoning and causal understanding. Such capabilities should be ultimately
integrated into artificial intelligence systems in order to surpass data-driven
limitations and support decision making in a way more similar to human
intelligence. This work is a vertical review that attempts a wide-ranging
exploration of brain function, spanning from lower-level biological neurons,
spiking neural networks, and neuronal ensembles to higher-level concepts such
as brain anatomy, vector symbolic architectures, cognitive and categorization
models, and cognitive architectures. The hope is that these concepts may offer
insights for solutions in artificial general intelligence.Comment: 143 pages, 49 figures, 244 reference
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