1 / 12

Exploring Weak Intelligence: Models of the Mind and Artificial Agents

Dive into the world of weak intelligence, neural networks, and intelligent agents. Discover the principles of multiple knowledge, quantum computing, and the future of AI development. Unravel the complexities of the mind and the potential for true intelligence.

dswafford
Download Presentation

Exploring Weak Intelligence: Models of the Mind and Artificial Agents

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. COMPUTER MODELS OF THE MIND Matjaž Gams Jozef Stefan Institute, Ljubljana University Slovenia

  2. Models of the Mind • neural networks • evolutionary algorithms • symbolic learning • intelligent agents

  3. AI DEVELOPMENT, TECHNOLOGY Truly intelligent?

  4. Neural networks • artificial networks – uniform simple filters! • 30 types of neurons, different structures, unique • constantly changing and adapting to environment

  5. How smart is a neuron? • can’t draw it well – why? • a simple switch – McCulloch and Pitt 1943 • a neuron is a computer – Hodgkin, Huxley 1952 • can a simple model represent the most complex system in our universe?

  6. 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. Weak intelligence - Why computers will never think (unless designed differently)? It is claimed that the major thinking power comes from interactions between multiple subprocesses. The principle of "multiple knowledge", in a way similar to the Heisenberg principle, is introduced to divide nonintelligent and intelligent thinking). Weak intelligence through the principle and paradox of multiple knowledge

  7. 8 CONSEQUENCES 8.1 Occam's Razor Vs. Multiple Knowledge 8.2 Bayes' Classifier And Multiple Knowledge 8.3 Properties of Knowledge 9 MANY-WORLDS THEORY AND QUANTUM COMPUTING 9.1 Paradoxes of Modern Physics 9.2 Interpretations of Quantum Physics 9.3 The Many-Worlds Theory 9.4 Objections to the Many-Worlds Interpretation 9.4 Quantum Computing 9.5 From Many Worlds to the Principle of Multiple Knowledge 10 STRONG AI FIGHTS BACK 11 CONCLUSION Weak intelligence through the principle and paradox of multiple knowledge

  8. Moravec

  9. Weak AI - Qualitative Leaps

  10. Discussion • Improving models of the mind • What is missing? • Information society - first SW generation with some degree of freedom when executing tasks; observes environment, communicates with several actors such as other computers, people etc. • First true assistants, not just slaves • We need them and they need us • New (weak) AI comprehensions needed

  11. In around 30-50 years How? Easy question – design it. Hard question – explain it – maybe impossible. TRUE (NEW) INTELLIGENCE, CONSCIOUSNESS

More Related