by Albert Major

(Recap)

Integration of Cognitive Science and AI

• Cognitive science and artificial intelligence are deeply interconnected fields
• The relationship is debated - whether AI is part of cognitive science or vice versa

(Recap)

Individual and Cultural Differences

• Growing recognition of individual differences in cognition:
  • Different people process information and solve problems differently
  • Need to understand the full spectrum of cognitive abilities
  • Important for understanding psychological disorders and exceptional abilities
  • Current "hot topic" in research grants
• Cultural differences in cognition:
  • Research suggests different thinking patterns across cultures
  • Example: Nisbett's 2004 research comparing Asian vs Western thinking:
    • Asians tend toward holistic thinking (seeing the big picture)
    • Westerners tend toward analytical thinking (focusing on details)
  • These findings remain controversial and debated
• The WEIRD Problem:
  • Most cognitive science research based on WEIRD populations:
    • Western
    • Educated
    • Industrialized
    • Rich
    • Democratic
  • Same experiments often produce different results in non-WEIRD populations
  • Need to consider both biological and cultural evolution in explaining differences

Embodied and Extended Cognition

• Core concept: Cognition involves the entire body, not just the brain
• Key aspects:
  • Brain exists within body
  • Body interacts with complex environment
  • Constant interactive loop between perception and action
• Evidence for embodied cognition:
  • Affordances:
    • Objects suggest their possible uses
    • Example: Cups afford drinking, saws afford cutting
  • Motor neuron activation:
    • Brain's motor regions activate when observing others' actions
    • Understanding actions involves simulating them mentally
• Research examples:
  • Ellis et al. (2001, 2004) study:
    • Used precision vs whole-hand grips for categorization
    • Faster responses when grip matched object properties
    • Example: Precision grip faster for small objects
  • Pulvermüller (2005) study:
    • Used transcranial magnetic stimulation
    • Pre-activating hand region helped process hand-related verbs
    • Pre-activating leg region helped process leg-related verbs
• Perceptual simulation:
  • Stanfield and Zwaan's research:
    • Reading sentences affects object recognition
    • Example: "Pencil in cup" primes vertical orientation
    • Suggests comprehension involves mental simulation

Dynamical Systems Approach

• Contrasts with classical cognitive science:
  • Classical view:
    • Brain/mind is modular
    • Processing is symbol-based
    • Internal processing separate from environment
    • Feed-forward processing dominates
  • Dynamical systems view:
    • Highly distributed processing
    • Continuous parallel interaction
    • Environment shapes processing
    • Massive recurrent connections
• Key characteristics:
  • Non-linear relationships
  • Systems are deterministic but unpredictable
  • Sensitive to initial conditions
  • Uses state spaces to track behavior
  • Involves attractors (points systems gravitate toward)
• Symbolic dynamics:
  • Attempts to bridge classical and connectionist approaches
  • State spaces contain "basins" representing concepts
  • System trajectories through state space represent thoughts
  • When system enters basin, corresponding concept activated

Game of Life Example