cognitive science in virtual worlds

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COGNITIVE SCIENCE IN VIRTUAL WORLDS Learning, memory, and cognition in virtual worlds

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Page 1: Cognitive Science in Virtual Worlds

COGNITIVE SCIENCE IN VIRTUAL WORLDS

Learning, memory, and cognition in virtual worlds

Page 2: Cognitive Science in Virtual Worlds

Designing learning for artificial agents: Transferring kinaesthetic learners’ procedural skills in virtual environments to embodied artificial intelligent agents

Research Focus

Page 3: Cognitive Science in Virtual Worlds

Synopsis

Page 4: Cognitive Science in Virtual Worlds

Human Memory Atkinson-Shiffrin model

Page 5: Cognitive Science in Virtual Worlds

A taxonomy of mammalian long-term memory systems (1980 – present)

Squire, L.R. Memory and Brain, New York: Oxford University Press, 1987.

Page 6: Cognitive Science in Virtual Worlds

Going to the Pizza Shop

Page 7: Cognitive Science in Virtual Worlds

History of implicit memory

Descartes (1649), Maine de Biran (1804)

Implicit memory is based on implicit learning. It is an unconscious, non intentional form of memory that is expressed through performance rather than recollection

In our every day language we refer to explicit memory not implicit

Page 8: Cognitive Science in Virtual Worlds

Motor Skills Learning

Learning how to ride a bike

Where is it?

Page 9: Cognitive Science in Virtual Worlds

Cognitive Architecture Definition

A Cognitive Architecture specifies the underlying infrastructure of an intelligent systems

The short-term and long term memory that store content about the agent’s belief, goals and knowledge

The representation and organization of structures that are embedded in these memories

The functional process that operate on these structures (performance and learning mechanisms)

A programming language that lets one construct knowledge-based systems which embody the architecture’s assumptions.

Page 10: Cognitive Science in Virtual Worlds

Cognitive Architecture Taxonomy

Page 11: Cognitive Science in Virtual Worlds

Symbolic Architecture

Symbolic AI: the hypothesis that

all intelligent thoughts are

symbolic manipulation.

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Symbolic Processor

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Emergent Architecture

Based on Subsymbolic artificial intelligence

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

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Subsymbolic network

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Hybrid Architecture

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Comparison of Cognitive architectures

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Key Design Properties for Cognitive Architectures

Page 18: Cognitive Science in Virtual Worlds

Soar (Symbolic)

Investigating transfer learning in the urban combat testbed.

Integrating soar with a real-time strategy game

Efficiently implementing episodic memory.

Interface Application

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Memory structure in Soar

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OpenCog Prime (Hybrid)

Intelligent virtual agents for MMOGs, serious games and training simulations.

Some natural language applications

Artificial General Intelligence (AGI)

Interface Application

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OpenCog Prime Memory

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Paradigm for Implicit Learning

Artificial Grammar LearningSerial Reaction TimeDynamic System Control

Page 23: Cognitive Science in Virtual Worlds

Sequence LearningThe Serial Reaction Time Task

The task requires learning a sequence of motor responses to visual clues

The dependent measure is reaction time

Implicit Learning and Motor Learning

Page 24: Cognitive Science in Virtual Worlds

Why Cognitive Science in Virtual Worlds?

Human interacting via the virtual world and run the experiment with the avatar pushing the buttons, adding an extra Layer?

Too complex to design such a test in a Virtual World (Kinematics? Latencies?)

What hypothesis? Run a comparative study?

Cognitive relationship between a human user and his or her on-line representation, Embodiment

Gardner Multiple Intelligence theory (1993)

Page 25: Cognitive Science in Virtual Worlds

Which World?

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How to bridge link from experimental results to an AI agent?

?