Cognitive Paradigms, Models and Architectures

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Cognitive Paradigms, Models and Architectures

• Juraj Frank
• Introduction to Cognitive Science
• 4.12.2007

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Paradigms of Cognition

• Cognitivist Approach
• cognition is a type of computation
• Emergent Systems Approach
• embracing connectionist systems, dynamical
  systems, and enactive systems, all based to a
  lesser or greater extent on principles of
  self-organization

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Cognitive Architectures
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C The Soar Cognitive Architecture

• production (or rule-based) system that operates
  in a cyclic manner, with a production cycle and a
  decision cycle
• universal sub-goaling
• 'impasse'
• new state in new problem space sub-goal
• new production rules

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C Adaptive Control of Thought - Rational
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E Global Workspace Cognitive Architecture
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E Global Workspace Cognitive Architecture II.
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E Self-Affecting Self-Aware (SASE) Cognitive
Architecture
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H Kismet

• used to examine the role of emotion and
  expressive behaviour in regulating social
  interaction between humans and robots
• an articulated anthropomorphic robotic head
• a total of 21 degree-of-freedom, three to control
  the head orientation, three to direct the gaze,
  and fifteen to control the robots facial features
• goal to learn from people through social
  engagement

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H Kismet
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Design principles for systems capable of
development

• architecture should address the dynamics of the
  neural element
• be able to effect perceptual categorization
• to have a physical instantiation
• to engage in some behavioural task
• to have a means to adapt

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Conclusions

• a developmental cognitive system will be
  constituted by a network of competing and
  cooperating distributed multifunctional
  sub-systems (or cortical circuits)?
• a developmental cognitive architecture must be
  capable of adaptation and self-modification
• cognitive systems are anticipatory and
  prospective
• rehearse hypothetical scenarios
• mechanism to use this to modulate the actual
  behaviour of the system
• embodiment

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Thank you

• Reference
• Vernon D., Metta G., Sandini G. A Survey of
  Artificial Cognitive Systems Implications for
  the Autonomous Development of Mental Capabilities
  in Computational Agents. Evolutionary
  Computation, IEEE Transactions on, Vol. 11, No.
  2. (2007), pp. 151-180.