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- W1869112611 abstract "We are developing Companion Cognitive Systems, a new kind of software that can be effectively treated as a collaborator. Aside from their potential utility, we believe this effort is important because it focuses on three key problems that must be solved to achieve human-level AI: Robust reasoning and learning, interactivity, and longevity. We describe the ideas we are using to develop the first architecture for Companions: analogical processing, grounded in cognitive science for reasoning and learning, sketching and concept maps to improve interactivity, and a distributed agent architecture hosted on a cluster to achieve performance and longevity. We outline some results on learning by accumulating examples derived from our first experimental version." @default.
- W1869112611 created "2016-06-24" @default.
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- W1869112611 date "2006-07-01" @default.
- W1869112611 modified "2023-10-11" @default.
- W1869112611 title "Companion cognitive systems: a step toward human-level AI" @default.
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- W1869112611 doi "https://doi.org/10.1609/aimag.v27i2.1882" @default.
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