1. INFORMATION SOCIETY E-SOCIETY and INTELLIGENCE
11/14/2018
M. Gams

2. Inf. Soc. and Intelligent Systems /agents
IN. SOCIETY
ENGINEERING, TECHNOLOGY
ARTIFICIAL INTELLIGENCE
Intelligent Systems

3. Moore’s Law

4. Saturation – When?

5. Intelligent Revolution Far Away! Memory

6. Moravec

7. Human Brain Progress

8. (Nonexisting?) Human Equivalence

9. Weak intelligence
Unknown barrier

10. Cognitive studies
Truly intelligent?

11. Artificial intelligence - intelligent systems

12. 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

14. 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

15. Research subject – Principle of multiple knowledge (1985-2001)
 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 , 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.

16. Turing machine

17. Predstavitev osnovne teze – principa mnogoterosti (1985-2001) Wegner 1997 – interakcija močnejša

18. Average-case analyses

19. 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