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.”

• Type: Conference
• Year: 2006
• Where: IJCNN
• Authors: Ben Goertzel
• Keywords: Artificial General Intelligence, Conceptual Framework, General Conceptual Framework, IJCNN 2006