Mixing Cognitive Science Concepts with Computer Science Algorithms and Data Structures

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Authors: Moshe Looks, Ben Goertzel

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Mixing Cognitive Science Concepts with Computer Science Algorithms and Data Structures: An Integrative Approach to Strong AI

Authors:

Moshe Looks
Ben Goertzel

Year: 2006
Venue: AAAI Spring Symposium (2006)
Links: paper (PDF)

Summary

Argues that the greatest synergy between cognitive science and AI arises at a high level of abstraction: cognitive science offers general principles about cognition under limited resources (which AGI systems should respect), while precise neural emulation is hampered by hardware mismatch and incomplete algorithm-level knowledge. It advocates AGI design that captures high-level features of human intelligence (goal-orientation, learning, self-reflection) using algorithms suited to digital hardware.

Relevance to Hyperon

An early foundational PRIMUS-lineage source on the integrative, abstraction-level approach to strong AI — framing the design philosophy behind OpenCogPrime/PRIMUS discussed in the PRIMUS Deep Dive.

Key References



Discussion