Twin curves for implicit and explicit learning
From Chapter 1
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Complexity Systems in the Social and Behavioral Sciences provides a sophisticated yet accessible account of complexity science or complex systems research. Phenomena in the behavioral, social, and hard sciences all exhibit certain important similarities consistent with complex systems. These include the concept of emergence, sensitivity to initial conditions, and interactions between agents in a system that yield unanticipated, nonlinear outcomes. The topics discussed range from the implications for artificial intelligence and computing to questions about how to model complex systems through agent-based modeling, to complex phenomena exhibited in international relations, and in organizational behavior. This volume will be an invaluable addition for both the general reader and the specialist, offering new insights into this fascinating area of research.
From Chapter 1
Fig. 1.1. Twin Curves for Implicit and Explicit Learning Dynamics with Chaotic Onset and Asymptotic Stability at the Conclusion of a Self-Organizing Process
Fig. 1.2. Coordination Acquisition During Four Rounds of an Intersection Task with Verbal and Nonverbal Conditions
From Chapter 1
Fig. 1.3. Electrodermal Time Series From a Group of Seven Experimental Emergency Response Team Members Competing Against One Opponent (GSR 8)
From Chapter 4
Fig. 4.1. Gödel Meta-Representation (Rogers 1967) and Mirror Systems in Immuno-Cognitive Systems
From Chapter 4
Fig. 4.2. Gödel Incompleteness Result in Miniature: An Illustration of Mirror Mapping in Thymus Medulla of Gene Codes that are Theorems in Genomic Systems
From Chapter 4
Fig. 4.3. Price Trends and Winner Determination
From Chapter 4
Fig. 4.4. The Structure of the European Exchange Rate Currency Peg. Exchange rates against the Deutschemark for the Belgian franc, French franc, Danish krone and British pound sterling, July 1992–July 1995 (indexed at 100 from July 1992)
From Chapter 5
Fig. 5.1. Tree Diagram for Player 1’s First Move for a 9x9 Go Board
From Chapter 5
Fig. 5.2. Tree Diagram for the First Moves of Players 1 and 2 for a 9x9 Go Board
From Chapter 5
Fig. 5.3. Go and Cellular Automata
From Chapter 5
Fig. 5.4. Four Classes of Cellular Automata
From Chapter 7
Fig. 7.1. Heat Map of Experimental Results Examining Calories in and Energy Expenditure
From Chapter 7
Fig. 7.2. The Results of Thirty-Year Projections for States with High (Alabama and West Virginia), Medium (Minnesota), and Low (Colorado) Levels of Overweight and Obese Populations
From Chapter 7
Fig. 7.3. A Thirty-Year Projection of the Percentage of Nebraska Residents that are Overweight and Obese
From Chapter 8
Fig. 8.1. The Average Heart Rate in Beats per Minute for 16 Animals: From the Fastest—Hamsters—to the Slowest—Large Whales—with Humans in the Center of a Logarithmic Scale
From Chapter 8
Fig. 8.2. Regular Transition between the Two States of the Individual in Operational Time (Upper Curve) and the Subordination of the Transition Times to an IPL PDF to Obtain Chronological Time (Lower Curve)
From Chapter 10
Fig. 10.1. Modeling Progressive Integration within a Network
Fig. 10.2. Spreading Falsification within a Popperian Model
From Chapter 10
Fig. 10.3. Distribution of Cascade Sizes in Popperian Networks of Characteristic Degree 0.5 (Top) and 1 (Bottom)
From Chapter 10
Fig. 10.4. Distribution of Cascade Sizes in Popperian Networks of Characteristic Degree 1.5 (Top) and 2 (Bottom)