Steve Strain

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A biologically inspired cognitive architecture must draw its insights from what is known from animal (including human) cognition. Such architectures should faithfully model the high-­‐level modules and processes of cognitive neuroscience. Also, biologically inspired cognitive architectures are expected to contribute to the BICA " challenge of creating a(More)
Significant debate on fundamental issues remains in the subfields of cognitive science, including and artificial intelligence each contribute alternative and sometimes conflicting perspectives on the supervening problem of artificial general intelligence (AGI). Current efforts toward a broad-based, systems-level model of minds cannot await theoretical(More)
Sparse distributed memory is an auto-associative memory system that stores high dimensional Boolean vectors. Here we present an extension of the original SDM, the Integer SDM that uses modular arithmetic integer vectors rather than binary vectors. This extension preserves many of the desirable properties of the original SDM: auto-associativity, content(More)
The complexity of medical problem solving presents a formidable challenge to current theories of cognition. Building on earlier work, we claim that the systemslevel cognitive model LIDA (for “Learning Intelligent Distribution Agent”) offers a number of specific advantages for modeling diagnostic thinking. The LIDA Model employs a consciousness(More)
What are the most important design principles that we should follow to build an Artificial General Intelligence? What should be the key constituents of systems-level models of cognition and behavior? In the target article " Conceptual Commitments of the LIDA Model of Cognition " , Baars tackle these difficult problems. They propose twelve " conceptual(More)
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