Dynamics of Learning in Neanderthals and Modern Humans volume 2 Cognitive and Physical Perspectives

1. Verfasser: Akazawa, Takeru , [VerfasserIn]
Weitere Verfasser: Ogihara, Naomichi.
Tanabe, Hiroki C.
Terashima, Hideaki.
Ort/Verlag/Jahr: Tokyo : Springer, 2014.
Ausgabe: 1st ed.
Umfang/Format: 1 online resource (238 pages).
Schriftenreihe: Replacement of Neanderthals by Modern Humans Ser.
Schlagworte:
Parallelausgabe: Dynamics of Learning in Neanderthals and Modern Humans : Cognitive and Physical Perspectives (Print version:)
Online Zugang: Available online
Inhaltsangabe:
  • Intro
  • Preface
  • Contents
  • Contributors
  • 1: Introduction
  • Part I: Cognition and Psychology
  • 2: The Cognition of Homo neanderthalensis and H. sapiens : Does the Use of Pigment Necessarily Imply Symbolic Thought?
  • 2.1 Introduction
  • 2.1.1 Different, but Neither Better nor Worse
  • 2.2 Archaeological Evidence for Cognitive Differences Between H. neanderthalensis and H. sapiens
  • 2.2.1 Cultural Homogeneity
  • 2.2.2 The Absence or Rarity of Visual Symbols
  • 2.2.3 Scratched Bones, Burials and Pigments
  • 2.2.4 Rapid Replacement
  • 2.3 Models for H. neanderthalensis Mind and Language
  • 2.3.1 Domain-Specific and Cognitive Fluid Mentalities
  • 2.3.2 Hmmmmm and Compositional Language
  • 2.4 The Use of Pigments
  • 2.4.1 Non-Symbolic Colour Use and Ritual
  • 2.5 Conclusion
  • References
  • 3: Comparisons Between Individual, Imitative and Instructed Learning
  • 3.1 Background and Purpose
  • 3.2 Methods
  • 3.2.1 Participants
  • 3.2.2 Materials
  • 3.2.3 Procedure
  • 3.3 Results
  • 3.3.1 Behavioral Measure
  • 3.3.2 Psychological Measurements
  • 3.4 Discussion
  • References
  • 4: The Ability to Objectify Conventional Styles of Problem-Solving: A Hypothesis on the Difference in Learning Ability Between Modern Humans and Neanderthals
  • 4.1 Introduction
  • 4.2 Tomasello's Hypothesis of 'Cumulative Cultural Learning'
  • (1) Child Cultural Learning: The Ratchet of Cumulative Cultural Evolution
  • (2) Individual or Collaborative Creation: The Driving Force of Cumulative Cultural Evolution
  • 4.3 Hints from Batson's Evolutionary Model of Learning
  • (1) Zero Learning
  • (2) Learning I
  • (3) Learning II
  • (4) Learning III
  • 4.4 An Attempt to Modify Tomasello's Model
  • 4.5 A Tentative Conclusion to and Future Perspective on the RNMH Project
  • References
  • 5: Cognitive Flexibility and Making Objects in Baka Pygmy Children.
  • 5.1 Introduction
  • 5.2 Method
  • 5.3 Results
  • 5.4 Discussion
  • References
  • 6: The Demonstration of Resilience in the Drawings of Baka Pygmy Children
  • 6.1 Introduction
  • 6.2 Literature Review on "Resilience"
  • 6.3 Baka Pygmy Children
  • 6.4 Method
  • 6.4.1 Participants
  • 6.4.2 Procedure
  • 6.5 Results
  • 6.5.1 Drawing Process and Attitude
  • 6.5.2 Drawing Style and Content
  • 6.5.2.1 Drawing Style
  • 6.5.2.2 Drawing Content (Rate of Drawing)
  • 6.6 Discussion
  • 6.6.1 The Drawings of Children in Traditional Societies
  • 6.6.2 The Resilience of Pygmy Children
  • 6.6.3 Innovators and Followers
  • 6.7 Conclusion
  • References
  • 7: Social Learning, Trial-and-Error, and Creativity
  • 7.1 Introduction
  • 7.2 Method
  • 7.2.1 Experiment 1
  • 7.2.1.1 Method of Experiment 1
  • 7.2.1.2 Results of Experiment 1
  • 7.2.1.3 Discussion of Experiment 1
  • 7.2.2 Experiment 2
  • 7.2.2.1 Method of Experiment 2
  • 7.2.2.2 Result of Experiment 2
  • 7.2.2.3 Discussion of Experiment 2
  • 7.3 General Discussion
  • References
  • 8: Experimental Studies of Modern Human Social and Individual Learning in an Archaeological Context: People Behave Adaptively, But Within Limits
  • 8.1 Introduction
  • 8.2 The Virtual Arrowhead Task
  • 8.3 Key Findings
  • 8.3.1 People Are Effective Individual Learners, But Can Get Stuck on Local Optima
  • 8.3.2 People Use Payoff-Biased Social Learning to Jump to Higher-Fitness Designs
  • 8.3.3 Payoff-Biased Social Learning Is Preferred to Other Forms of Social Learning
  • 8.3.4 Payoff Biased Social Learning Leads to "Cultural Hitchhiking"
  • 8.3.5 Informational Access Costs Block Social Learning
  • 8.4 Limitations and Applications
  • 8.5 Conclusions
  • References
  • Part II: Body Science and Genetics
  • 9: Motion Analysis for Stone-Knapping of the Skilled Levallois Technique
  • 9.1 Introduction.
  • 9.2 Two Process of Recurrent Levallois Technique for the Motion Analysis
  • 9.3 The Outline of the Stone-Tool Production Experiment for a Motion Analysis
  • 9.4 The Motion Capturing System Visualize3000
  • 9.5 Analysis About Getting to LF/LP Motion
  • 9.6 Detail Analysis About LF13 Motion
  • 9.7 Detail Analysis About LF19 Motion
  • 9.8 Detail Analysis About LP42 Motion
  • 9.9 Detail Analysis About the Hammer Swing Motion About LF13, LF19 and LP42
  • 9.10 Elbow Motion Analysis
  • 9.11 Discussion
  • References
  • 10: Daily Physical Activity and Time- Space Using of Pygmy Hunter- Gatherers' Children in Southeast Cameroon
  • 10.1 Introduction
  • 10.2 Subjects and Methods
  • 10.2.1 Participants
  • 10.2.2 Methods and Data Analyses
  • 10.2.2.1 Age Estimation
  • 10.2.2.2 Daily Time Allocation
  • 10.2.2.3 Daily Physical Activity
  • 10.2.2.4 Correlation Between Daytime use and Physical Activities
  • 10.2.2.5 Statistical Analysis
  • 10.3 Results and Discussion
  • 10.3.1 Daily Physical Activity
  • 10.3.2 Daily Time-Space Using
  • 10.3.3 Correlation Between Physical Activity and Time-Space Using
  • 10.3.4 Further Study
  • 10.4 Conclusion
  • References
  • 11: Estimation of the Period of Childhood and Child Growth Characteristics of Pygmy Hunter-Gatherers in Southeast Cameroon
  • 11.1 Introduction
  • 11.2 Methods
  • 11.2.1 Subjects and Data Collection
  • 11.2.2 Assessing Nutritional Status
  • 11.2.3 Applying the Mathematical Function
  • 11.2.4 Statistical Analysis
  • 11.3 Results
  • 11.4 Discussion
  • 11.5 Conclusion
  • References
  • 12: Interpretations of Practical Population Genetics Analyses of Genome-Wide SNP Data on Human Demography
  • 12.1 Introduction
  • 12.2 Materials and Methods
  • 12.2.1 Generation of Simulated Data Sets
  • 12.2.2 Statistical Analyses
  • 12.2.3 Analyses of a Real Data Set.
  • 12.3 Results and Discussion
  • 12.3.1 NJ Tree and NN Network
  • 12.3.2 PCA
  • 12.3.3 Clustering Analysis
  • 12.3.4 Keys to Reconstructing Past Demographic History
  • 12.3.5 Interpretation of Analyses of Real Data
  • 12.3.6 Concluding Remarks
  • Appendix: Command Lines for the Simulations Operated Using msms
  • For Model S
  • For Model M
  • For Model OA
  • For Model RA
  • References
  • Part III: Reconstruction of Fossil Crania and BrainMorphology
  • 13: Functional Craniology, Human Evolution, and Anatomical Constraints in the Neanderthal Braincase
  • 13.1 Functional Craniology and Human Evolution
  • 13.2 Paleoneurology and Endocranial Constraints
  • 13.3 Indirect Models in Paleoneurology
  • 13.4 Brain Metabolism and Heat Dissipation
  • 13.5 A Neanderthal's Lineage
  • References
  • 14: Cerebral Sulci and Gyri Observed on Macaque Endocasts
  • 14.1 Introduction
  • 14.2 Materials and Methods
  • 14.3 Results
  • 14.3.1 General Morphology of the Skulls
  • 14.3.2 Correspondence of Impressions on the Endocasts to Cerebral Sulci
  • 14.3.3 Individual Difference in Sulcal Patterns Observed on the Endocasts
  • 14.4 Discussion
  • References
  • 15: The Coronal Suture as an Indicator of the Caudal Border of the Macaque Monkey Prefrontal Cortex
  • 15.1 Introduction
  • 15.2 Materials and Methods
  • 15.3 Results
  • 15.4 Discussion
  • References
  • 16: Application of Sliding Landmark Method for Morphological Analysis of Modern Japanese Neurocranial Shape
  • 16.1 Introduction
  • 16.2 Materials and Methods
  • 16.2.1 Specimens
  • 16.2.2 Landmarks
  • 16.2.3 Sliding Semi-Landmark Method
  • 16.2.4 Morphological Analysis
  • 16.3 Results
  • 16.4 Discussion
  • References
  • 17: A Geometric Morphometric Study of Neurocranial Shape Variations in the Crania of Modern Japanese
  • 17.1 Introduction
  • 17.2 Materials and Methods
  • 17.2.1 Specimens.
  • 17.2.2 Landmarks
  • 17.2.3 Morphological Analysis
  • 17.3 Results
  • 17.4 Discussion
  • References
  • 18: Statistical Interpolation of Missing Parts in Human Crania Using Regularized Multivariate Linear Regression Analysis
  • 18.1 Introduction
  • 18.2 Materials and Methods
  • 18.2.1 Specimens
  • 18.2.2 Landmarks
  • 18.2.3 Estimation of Missing Landmark Coordinates
  • 18.2.4 Virtual Crania with Missing Portions
  • 18.3 Results
  • 18.4 Discussion
  • References
  • 19: Transferring Semi-Landmarks by Minimizing Bending Energy on Surfaces
  • 19.1 Introduction
  • 19.2 Method
  • 19.2.1 Overview
  • 19.2.2 The Linear System
  • 19.2.3 Numerical Stability
  • 19.3 Experimental Results
  • 19.4 Conclusions
  • References
  • 20: CT Image Segmentation for Bone Structures Using Image-Based FEM
  • 20.1 Introduction
  • 20.2 Methods
  • 20.2.1 Strain Computation Using FEM
  • 20.2.2 Estimation of Loading Forces
  • 20.2.3 Estimation of Positions of Fixed Nodes and Loading Nodes
  • 20.3 Results
  • 20.4 Conclusions
  • References
  • 21: Virtual Endocast of Qafzeh 9: A Preliminary Assessment of Right-Left Asymmetry
  • 21.1 Introduction
  • 21.2 Materials and Methods
  • 21.2.1 Virtual Reconstruction of the Qafzeh 9 Endocast
  • 21.2.2 Assessment of Right-Left Asymmetry and Correction of Distortion
  • 21.2.3 Comparison of the Original and Morphed Versions of the Qafzeh 9 Endocast with Those of Recent Humans
  • 21.3 Results
  • 21.4 Discussion and Conclusions
  • References
  • 22: Reconstruction of the Brain from Skull Fossils Using Computational Anatomy
  • 22.1 Purpose of Our Research
  • 22.2 Computational Anatomy
  • 22.2.1 Introduction to Computational Anatomy
  • 22.2.2 Spatial Transformation
  • 22.2.3 Computational Morphometry
  • 22.3 Studies on Modern Human Brain Data
  • 22.3.1 Brain Reconstruction with Skull Shape Matching.
  • 22.3.2 Quantitative Whole-Brain Morphometric Analysis.