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Explore the concept of weak intelligence through the principle of multiple knowledge, emphasizing the complexity of human brains and the potential of multiple model integration for superior results in AI.
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INFORMATION SOCIETY E-SOCIETY and INTELLIGENCE M. Gams matjaz.gams@ijs.si
ENGINEERING, TECHNOLOGY ARTIFICIAL INTELLIGENCE Inf. Soc. and Intelligent Systems /agents IN. SOCIETY Intelligent Systems
Weak intelligence Unknown barrier
Cognitive studies Truly intelligent?
Artificial intelligence • Classical, formal, strong AI; Church-Turing thesis • Cognitive, weak; the brain is the only truly intelligent system; evolution • Engineering AI; advances over existing systems, new quality
THE PRINCIPLE OF MULTIPLE KNOWLEDGE A HYPOTHESIS THAT THE WORLD IS MULTIPLE, THAT BETTER RESULTS ARE OBTAINED WHEN MODELS ARE MULTIPLE MULTIPLICITY MAKES THE HUMAN BRAIN SUBSTANTIALLY MORE COMPLEX
M. Gams: Weak intelligence: Through the principle and paradox of multiple knowledge, Advances in computation: Theory and practice, Volume 6, Nova science publishers, inc., NY, ISBN 1-56072-898-1, pp. 245, 2001. • Combining or integrating multiple models enables better results than with one model alone in general (blackboard). • Thinking is a multiple process. Advanced power comes from multiple interacting processes. Multiple computing is stronger that universal Turing computing. Research subject – Principle of multiple knowledge (1985-2001)
Predstavitev osnovne teze – principa mnogoterosti (1985-2001) Wegner 1997 – interakcija močnejša
Discussion • Information society - technological, human, social • Intelligent systems - SW generation with some degree of intelligence • Intelligence (human, artificial, technical) is essential • True intelligent revolution decades away – incredible possibilities ahead of us