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.
Rezensionen / Stimmen
'Looking Ahead uncovers the science behind our use of prediction to make decisions and navigate the complex world. Huettig offers original, evidence-based analyses of this capacity, emphasizing the historical context and scientific validity of the concepts. A must-read for anyone curious about the origins and widespread influence of the concept of intelligent systems as prediction engines.' Fernanda Ferreira, University of California, Davis 'Many researchers argue that prediction presents a foundational, unifying principle to the understanding of the mind. Huettig has written an accessible yet sophisticated introduction to this fascinating topic, which moves seamlessly through philosophical, experimental, and computational issues that relate prediction to mind and brain.' Martin Pickering, The University of Edinburgh 'Huettig plainly explains why the brain is now being treated as a prediction system instead of an information processor. The difference may seem subtle, but across 24 bite-size chapters, Huettig demonstrates that it is nothing short of revolutionary. I predict that both students and experts will absorb powerful insights from Looking Ahead.' Michael J. Spivey, University of California, Merced 'The notion of prediction has played an increasing role in contemporary psychological, neuroscientific, and mathematical theories of the mind and the brain. In Looking Ahead, Falk Huettig has created a comprehensive theory of these theories, the strengths, and their weaknesses. It will be a valuable resource for researchers who care about the Big Picture.' Ray Jackendoff, Tufts University 'Decades of research into the human mind have resulted in myriad different perspectives on the workings of that mind: Falk Huettig provides the reader with a sophisticated yet accessible tour of those different perspectives through the lens of prediction Looking Ahead the ability to use information from the past or present in service of accessing information about the future. Few books, if any, capture the range of phenomena, and associated disciplines, that are captured here. Both novice and expert will benefit from Huettig's ability to engage and guide the reader through such varied intellectual terrain. This should be on every cognitive scientist's list of essential reading.' Gerry Altmann, University of Connecticut
Sprache
Verlagsort
Illustrationen
Worked examples or Exercises
Maße
Höhe: 235 mm
Breite: 157 mm
Dicke: 24 mm
Gewicht
ISBN-13
978-1-009-24548-7 (9781009245487)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Falk Huettig is a Senior Investigator at the Max Planck Institute for Psycholinguistics in Nijmegen, Netherlands. He holds honorary professorships at the University of Kaiserslautern-Landau, Germany, and the University of Lisbon, Portugal.
Autor*in
Max-Planck-Institut fuer Psycholinguistik, The Netherlands
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.
