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Full Description
Driven by the transformative idea that the brain operates as a predictive engine, this book offers a rigorous yet accessible introduction to predictive processing's core concepts while navigating major theories with depth and critical evaluation. Huettig incorporates historical contexts and maintains a critical stance, shedding light on the pros and cons of various approaches across the many academic disciplines that investigate future-oriented behavior. Looking Ahead is indispensable reading for early students of the science of prediction in psychology, cognitive science, neuroscience, linguistics, artificial intelligence and computer science, experts in related fields, and for anyone who has ever wondered why, as a species, we take so much interest in what lies ahead.
Contents
Part I. Setting the Stage: 1. Talkin' Bout a Revolution: A Paradigm Shift; 2. Defining Prediction; 3. The Good, the Bad and the Ugly: Assessing a Theory; Part II. Psychological Theories: 4. Mind Reading: Introduction to Psychological Theories; 5. Reinforcing and Connecting: Prediction Involves Associative Learning; 6. Accessing the Remainders of Mental Representations & Filling in the Gaps: Prediction Involves Pre-Activation and Pattern Completion; 7. Implicit Priming and Active Forecasting: Prediction Involves Two Systems; 8. Mental Short-Cuts: Prediction Involves Simple Heuristics; 9. Inferences About Others and Their Mental States: Prediction Involves Social Theories; 10. Continuous Cycles of Perceiving, Acting, and Adjusting: Prediction Involves Perception-Action Loops; 11. Event Representations of How the World Works: Prediction Involves Mental Models of Events; 12. Moving Pictures in the Head: Prediction Involves Mental Simulation; Part III. Mathematical Theories: 13. Number Crunching: Introduction to Mathematical Theories; 14. Learned Activation Patterns of Simple Connected Processing Units: Prediction Involves Connectionist Neural Networks; 15. Reducing Surprisal and Entropy: Prediction Involves Information Theory; 16. Probabilistic Beliefs about the State of the World: Prediction Involves Bayesian Inference; 17. Quantum Probabilities: Prediction Involves Mathematical Formalisms of Quantum Theory; Part IV. Neurobiological Theories: 18. Wetware: Introduction to Neurobiological Theories; 19. Neuronal Overlap During Observation and Action: Prediction Involves Mirror Neurons; 20. Forward Models in the Brain: Prediction Involves the Cerebellum as a Predictive Engine; 21. Minimization of Prediction Errors by Self-Organizing Biological Systems: Prediction Involves Hierarchical Predictive Coding & Free Energy Neuroscience; 22. Information Processing Facilitated by Neural Rhythms: Prediction Involves Neural Oscillations; Part V. The Future of Prediction: 23. Lumping and Splitting; 24. A Look Ahead for Prediction Research.
