Investigating Human Interaction through Mathematical Analysis

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Investigating Human Interaction through Mathematical Analysis offers a new and unique approach to social intragroup interaction by using mathematics and psychophysics to create a mathematical model based on social psychological theories.

It draws on the work of Dr. Stanley Milgram, Dr. Bibb Latane, and Dr. Bernd Schmitt to develop an algebraic expression and applies it to quantitatively model and explain various independent social psychology experiments taken from refereed journals involving basic social systems with underlying queue-like structures. It is then argued that the social queue as a resource system, containing common-pool resources, meets the eight design principles necessary to support stability within the queue. Making this link provides a means to advance to more complex social systems. It is envisioned that if basic social systems as presented can be modeled, then, with further development, more complex social systems may eventually be modeled for the purpose of identifying and validating social structures that might eventually support stable governments in our common environment called Earth.

This is a fascinating reading for academics and advanced students interested in political theory, detection theory, social psychology, organizational behavior, psychophysics, and applied mathematics in the social and information sciences.

The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Author(s): Kurt T. Brintzenhofe
Publisher: Routledge
Year: 2023

Language: English
Pages: 215
City: New York

Cover
Half Title
Title
Copyright
Dedication
Contents
List of Figures
Preface
Acknowledgments
Introduction
1 Social Psychology and Psychophysics: Laying the Foundation
1.1 Proposing an Objective for Social Psychology
1.2 Cognitive-Dissonance-Based Definitions and Social Axioms
1.3 Bibb Latane’s Social Impact Theory
1.4 Weber’s Law and Fechner’s Law
1.5 Weber’s Law Revisited
1.6 Fechner’s Law Revisited
2 Milgram’s Drawing Power of Crowds and Social Impact Theory
2.1 Sensation Magnitude Probability Mass Function
2.1.1 Mental Encoding and the Discrete Uniform Probability Mass Function
2.1.2 Tone Perception – Two-Alternative Forced Choice Experiment (No Feedback)
2.1.3 Mass Perception – Three-Alternative Forced Choice Experiment (No Feedback)
2.2 Deriving the Unit Sensation Magnitude Probability Density Function
2.3 Psychophysical Solution to Milgram’s 1969 Drawing Power of Crowds Experiment
2.3.1 Encoding: Uniform Distribution as the Basis
2.3.2 Encoding: Exponential Distribution
2.4 Fechner’s Law and the Power Law
2.5 Summary
3 Revisiting Milgram’s 1978 “Response to Intrusion into Waiting Lines” Experiment
3.1 Establishing an Analytic Model of Intragroup Social Impact
3.2 Milgram’s “Response to Intrusion Into Waiting Lines”: Reaction Summary and Associated Social Situations
3.3 Milgram’s “Response to Intrusion Into Waiting Lines”: Analysis and Model Development
3.3.1 Condition 1: (+1)-Q(1|0|M) Probability of Reaction Calculation
3.3.2 Condition 4 – Probability of Reaction Calculation for Q(2|0|M)
3.3.3 Impact of Nonreacting (NR) Confederate Buffers: Deriving z(|UI|) Using Conditions 2: (+2), 5: (+3) and 6: (+3)
3.3.4 Impact of Reacting Members: Deriving y(|UI|) Using Condition 4: (+2)
3.3.5 Estimating esH ,1,0 and esH,2,0
3.4 Summary
3.4.1 Observations
4 Applying the Queue Transform
4.1 Variations of the Obedience Study
4.2 Lady and a Flat Tire
4.3 Smoke From a Vent
4.4 Lady Needing Help
4.5 Accident Victim
4.6 Theft of Beer and Money (Design of Experiment Lessons Learned)
4.7 Cumulative Summary of Queue Transform Results
5 From the Queue to the Commons
5.1 The Common-Pool Resource
5.2 The Queue as an Open-Access Common-Pool Resource
5.2.1 Design Principle 1 – Clearly Defined Resource System Boundaries
5.2.2 Design Principle 2 – Proportional Appropriation and Provision
5.2.3 Design Principle 3 – Modify Rules Through Consensus
5.2.4 Design Principles 4 and 5 – Monitoring Access to the Resource and Effective Sanctions Against Violators
5.2.5 Design Principle 6 – Conflict Resolution Mechanisms
5.2.6 Design Principle 7 – Right to Modify Resource System Structure
5.2.7 Design Principle 8 – Effective Coordination Between Interconnected Resource Systems
5.3 Mapping Complex Social Commons to the Western Queue Social Commons
6 An Algebraic Group in Social Space
6.1 Dissonance Reduction as a Function of Time
6.1.1 First-Order Derivation of Dissonance Reduction as a Function of Time
6.2 The Queue Transform as an Algebraic Abelian Group
6.3 Potential Implications of Ambiguity Reduction, Cumulative Dissonance, and/or Reevaluation of the Social Situation
7 History as Data
7.1 The German Confederation and Social Events Leading to Its 1848 Revolution
7.1.1 Defining Revolution as a Tragedy of the Commons
7.1.2 Establishing and Legitimizing Representation as a Group Social Norm
7.1.3 Amplification of Social Dissonance
7.1.4 The Amplifying Event and Group Member Reaction
7.2 Response to Intrusion Into Waiting Lines and the German Confederation’s Nobility
7.3 The Obedience Experiment and the German Confederation’s Revolution of 1848
7.4 Final Remarks
Appendix A: Deriving Minimum Queue Length Based on Milgram et al. (1986) Data
Glossary of Variables and Notation
Index