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IJCNN
2006
IEEE

Patterns, Hypergraphs and Embodied General Intelligence

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Patterns, Hypergraphs and Embodied General Intelligence
—It is proposed that the creation of Artificial General Intelligence (AGI) at the human level and ultimately beyond is a problem addressable via integrating computer science algorithms and data structures within a cognitive architecture oriented toward experiential learning. A general conceptual framework for AGI is presented, beginning with a philosophy of mind based on the concept of pattern, then moving to a general mathematical and conceptual framework for modeling intelligent systems, Self-Modifying Evolving Probabilistic Hypergraphs (SMEPH), and finally to an overview of a specific design for AGI, the Novamente AI Engine. The problem of teaching an AGI system is discussed, in the context of Novamente’s embodiment in the AGI-SIM simulation world. An educational program based loosely on Piaget’s developmental stages is outlined, followed by more detailed consideration of the learning by Novamente in AGISIM of the Piagetan infant-level capability of “object permanence.”
Ben Goertzel
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where IJCNN
Authors Ben Goertzel
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