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Chapter 6 Heuristics and Controlled Problem Solving

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1 Chapter 6 Heuristics and Controlled Problem Solving
Chris Viola

2 Overview Motivation to control Bounded Rationality and Heuristics
(implicit level processing) Controlled Problem Solving (explicit level processing)

3 Motivation to Control Cost-Benefit Trade-offs Variance-Invariance
Speed vs. Accuracy Variance-Invariance

4 Supporting Mechanisms
Motivation to Control Cognitive Affective Behavioral Strategies to Achieve Control Conscious- Psychological Supporting Mechanisms Physical Modules Biological Social Underlying Modular Systems

5 Implicit System Explicit System Unconscious Conscious Automatic
Controllable Evolved early Evolved late Parallel Processing Sequential Processing Parallel processing results in high effortless processing capacity Sequential processing is limited by attentional and working memory resources/capacities Unrelated to general intelligence Correlated with general intelligence

6 Fast, simple, low effort and implicit mechanisms.
Heuristics: Fast, simple, low effort and implicit mechanisms. Invariant Variant Evolved Cognitive Mechanisms Controlled Problem-Solving: Slow, complex, effortful, and explicit/conscious mechanisms

7 Information patterns generated by faces and facial expressions
Bounded rationality Bounded Rationality is a coupling of ecological and social information patterns that occurred regularly during the species’ evolutionary history and the complementary brain and cognitive systems that have evolved to direct the organism’s attention and processing of this information Behavior-cognition-ecology link Satisficing and Aspiration level Bounded Rationality Brain and cognitive systems that direct attention to and process facial information Information patterns generated by faces and facial expressions Behavior

8 Barnacle Geese

9 Heuristics The combination of mechanisms that enable information to be identified and processed quickly to enable fast decision making. “rules of thumb” Complex social dynamics Reciprocal social exchanges Evidence to support evolved mechanisms Capuchin monkey “fair play” College abstract reasoning task Associated areas Prefrontal cortex and amygdala link in cheater detection Insula cortex vs. Anterior cingulate cortex and dorsalateral prefrontal cortex

10 Controlled Problem Solving
Knowledge lean domains Operators-rules that define how one can switch states Representation- Mental or physical form of the states (visual, spatial, linguistic) Problem Space-combination of initial state, end state or goal, rules of operation, and representation Knowledge rich domains Crystallized general intelligence- Facts, procedures, schemata that is stored in long term memory.

11 Goal Definition Assumptions Constrain Problem Space Goal-Relevant knowledge Legal Operators Schemata Problem Representation And Transformation Reasoning: Analogy, Induction, Deduction General Problem- Solving Strategies


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