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Chapter 1 The Architecture of Human-Like General Intelligence

By Ben Goertzel, Matt Ikle and Jared Wigmore

Abstract

By exploring the relationships between different AGI architectures, one can work toward a holistic cognitive model of human-level intelligence. In this vein, here an integrative architecture diagram for human-like general intelligence is proposed, via merging of lightly modified version of prior diagrams including Aaron Sloman’s high-level cognitive model, Stan Franklin and the LIDA group’s model of working memory and the cognitive cycle, Joscha Bach and Dietrich Dorner’s Psi model of motivated action and cognition, James Albus’s three-hierarchy intelligent robotics model, and the author’s prior work on cognitive synergy in deliberative thought and metacognition, along with ideas from deep learning and computational linguistics. The purpose is not to propose an actual merger of the various AGI systems considered, but rather to highlight the points of compatibility between the different approaches, as well as the differences of both focus and substance. The result is perhaps the most comprehensive architecture diagram of human-cognition yet produced, tying together all key aspects of human intelligence in a coherent way that is not tightly bound to any particular cognitive or AGI theory. Finally, the question of the dynamics associated with the architecture is considered, including the potential that human-level intelligence requires cognitive synergy between these various components is considered; and the possibility of a “trickiness ” property causing the intelligence of the overall system to be badly suboptimal if any of the components are missing or insufficiently cooperative. One idea emerging from these dynamic consideration is that implementing the whole integrative architecture diagram may be necessary for achieving anywhere near human-level, human-like general intelligence. 1.1

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.1548
Provided by: CiteSeerX
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