Abstract
Computational modeling of natural cognition is a crucial step towards achieving the grand goal of human-level computational intelligence. Successful ideas from existing models, and possibly newer ones, could be assembled to create a unified computational framework (e.g. the Standard Model of the Mind, which attempts to unify three leading cognitive architectures) - this would be of great use in AI, robotics, neuroscience and cognitive science. This short position paper proposes the following: a VR-based system provides the most expedient, scalable and visually verifiable way to implement, test and refine a cognitive mind model (which would always embodied in a character in a virtual world). Such a setup is discussed in the paper, including advantages and drawbacks over alternative implementations.
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Raghavachary, S., Lei, L. (2020). A VR-Based System and Architecture for Computational Modeling of Minds. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham. https://doi.org/10.1007/978-3-030-25719-4_55
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DOI: https://doi.org/10.1007/978-3-030-25719-4_55
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