Thomas Shultz, Professor @ McGill University
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  • Research interests
    • Learning & development
    • Neural networks
    • Evolution
    • Cognitive dissonance
    • Problem solving
  • Publications
    • Learning & development
    • Neural networks
    • Memory
    • Evolution
    • Cognitive dissonance
    • Problem solving
    • Decision making
    • Commentaries
    • Blog posts
  • Research highlights
    • Resolving the St. Petersburg paradox
    • Spread of innovation in wild birds
    • Resolving Rogers' paradox
    • Evolution of ethnocentrism
    • Shape of development
    • Connectionist modeling
    • Neural networks
    • Symbolic modeling
    • Causal reasoning
    • Moral reasoning
    • Theory of mind
    • Development of humor
  • Editorships
  • LNSC
    • Current lab members
    • Professors from LNSC
    • Undergraduate awards
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Research interests

My students, colleagues, and I study cognition and behavior through a combination of psychological and computational approaches. Basic psychological phenomena are simulated, leading to predictions that can be tested empirically. Our recent and current lines of research concern learning and cognitive development, artificial neural networks, evolution, cognitive dissonance,  problem solving, and decision making. Common to of all these projects is emergence – the idea that complex phenomena naturally arise from the interaction of elementary components. For example, cognition arises from activation signals passing across networks of neurons. And ethnocentric cooperation emerges from genes replicating themselves.
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