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Contents
- Abstract
- General Introduction
- Holism
- Holism in Traditional Gestalt Psychology
- Modern Approaches to Holism
- Garner's dimensional integrality
- Emergent features and configural superiority
- Global precedence
- The primacy of holistic properties
- Interim Evaluation: New Foundations Needed
- A Dynamical Systems Approach
- Introduction
- Noise-Driven Models
- Dynamical Models
- Dynamic Synchronization and Complex Adaptive Systems
- Conclusion
- Principles of Measurement in a System of Sensors
- Introduction
- Elementary versus system processes
- Intrinsic versus extrinsic processes
- Unity of Apparent Motion
- Principles of Measurement
- Systems of Sensors
- Economics of Measurement by a System of Sensors
- Conclusion
- A Bayesian Approach
- Introduction
- A Bayesian Approach to Grouping Principles
- Proximity
- Good continuation
- A Bayesian Foundation for Core Concepts From Gestalt Theory
- Object formation
- Prägnanz
- Relationships to Other Frameworks
- Simplicity versus likelihood
- Minimal model theory
- Bayesian network models
- Conclusion
- Structural Information Theory
- Introduction
- The Veridicality of Simplicity
- The Nature of Visual Regularity
- Cognitive Architecture
- Conclusion
- General Discussion and Conclusion
- Descriptive Frameworks
- Explanatory Frameworks
- Conclusion
- Appendix A
Figures and Tables
Abstract
Our first review article (Wagemans et al., 2012) on the occasion of the centennial anniversary of Gestalt psychology focused on perceptual grouping and figure–ground organization. It concluded that further progress requires a reconsideration of the conceptual and theoretical foundations of the Gestalt approach, which is provided here. In particular, we review contemporary formulations of holism within an information-processing framework, allowing for operational definitions (e.g., integral dimensions, emergent features, configural superiority, global precedence, primacy of holistic/configural properties) and a refined understanding of its psychological implications (e.g., at the level of attention, perception, and decision). We also review 4 lines of theoretical progress regarding the law of Prägnanz—the brain's tendency of being attracted towards states corresponding to the simplest possible organization, given the available stimulation. The first considers the brain as a complex adaptive system and explains how self-organization solves the conundrum of trading between robustness and flexibility of perceptual states. The second specifies the economy principle in terms of optimization of neural resources, showing that elementary sensors working independently to minimize uncertainty can respond optimally at the system level. The third considers how Gestalt percepts (e.g., groups, objects) are optimal given the...





