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Virtual worlds and Memory


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Virtual worlds and Memory

  1. 1. Memory and Artificial Intelligence<br />Learning, memory, and cognition in virtual worlds<br />
  2. 2. Designing learning for artificial agents: Transferring kinaesthetic learners’ procedural skills in virtual environments to embodied artificial intelligent agents <br />Research Focus<br />
  3. 3. Synopsis<br />
  4. 4. Human Memory Atkinson-Shiffrin model<br />
  5. 5. A taxonomy of mammalian long-term memory systems (1980 – present)<br />Squire, L.R. Memory and Brain, New York: Oxford University Press, 1987.<br />
  6. 6. History of implicit memory<br />Descartes (1649), Maine de Biran (1804)<br />Implicit memory is based on implicit learning. It is an unconscious, non intentional form of memory that is expressed through performance rather than recollection<br />In our every day language we refer to explicit memory not implicit <br />
  7. 7. Motor Skills Learning<br />Learning how to ride a bike<br />Where is it?<br />
  8. 8. Cognitive Architecture Definition<br />A Cognitive Architecture specifies the underlying infrastructure of an intelligent systems<br />The short-term and long term memory that store content about the agent’s belief, goals and knowledge<br />The representation and organisation of structures that are embedded in these memories<br />The functional process that operate on these structures (performance and learning mechanisms)<br />A programming language that lets one construct knowledge-based systems which embody the architecture’s assumptions.<br />
  9. 9. Cognitive Architecture Taxonomy<br />
  10. 10. Symbolic Architecture<br />Symbolic AI: the hypothesis that all intelligent thoughts are symbolic manipulation.<br />
  11. 11. Symbolic Processor<br />
  12. 12. Emergent Architecture<br />Based on Subsymbolic artificial intelligence<br />Used as a metaphor of the human brain, where cognitive activities of the brain are interpreted by theoretical concepts that have their origin in neuroscience<br />
  13. 13. Subsymbolic network<br />
  14. 14. Hybrid Architecture<br />
  15. 15. Comparison of Cognitive architectures<br />
  16. 16. Key Design Properties for Cognitive Architectures<br />
  17. 17. Soar (Symbolic)<br />Investigating transfer learning in the urban combat testbed. <br />Integrating soar with a real-time strategy game <br />Efficiently implementing episodic memory. <br />Interface<br />Application<br />
  18. 18. Memory structure in Soar<br />
  19. 19. OpenCog Prime (Hybrid)<br />Intelligent virtual agents for MMOGs, serious games and training simulations.<br />Some natural language applications<br />Artificial General Intelligence (AGI)<br />Interface<br />Application<br />
  20. 20. OpenCog Prime Memory<br />
  21. 21. Motor skills learning tests<br />e.g. retention of procedural knowledge, procedural memory consolidation, procedural learning<br />Pursuit-rotor learning <br />Mirror tracing<br />Serial Retention Time Task<br />Pouring task<br />
  22. 22. Serial Retention Task (RST)<br />Subjects press keys as quickly as possible in response to stimuli that appear in various locations on the screen<br />The dependent measure is reaction time<br />
  23. 23. Why Second Life?<br />Vs.<br />
  24. 24. Cognitive Science in Virtual Worlds?<br />Human interacting via the virtual world and run the experiment with the avatar pushing the buttons<br />Too complex to design such a test in a Virtual World (limitation)?<br />What hypothesis I can present?<br />Cognitive relationship between a human user and his or her on-line representation<br />Gardner Multiple Intelligence theory (1993): Bodily-Kinesthetic intelligence (“body smart”)<br />
  25. 25. How to bridge link from experimental results to an AI agent?<br />?<br />