The behavioral sciences are historical sciences of emergent complexity

2007 ◽  
Vol 30 (1) ◽  
pp. 18-19 ◽  
Author(s):  
Larry Arnhart
Keyword(s):  
Game Theory ◽  
Natural History ◽  
Cultural History ◽  
Evolutionary Game Theory ◽  
Social Life ◽  
Evolutionary Game ◽  
Historical Narratives ◽  
Behavioral Sciences ◽  
Emergent Complexity ◽  
Nested Hierarchy

Unlike physics and chemistry, the behavioral sciences are historical sciences that explain the fuzzy complexity of social life through historical narratives. Unifying the behavioral sciences through evolutionary game theory would require a nested hierarchy of three kinds of historical narratives: natural history, cultural history, and biographical history.

Extending the behavioral sciences framework: Clarification of methods, predictions, and concepts

2007 ◽  
Vol 30 (1) ◽  
pp. 36-37 ◽  
Author(s):  
Alex Mesoudi ◽  
Kevin N. Laland
Keyword(s):  
Social Sciences ◽  
Game Theory ◽  
Evolutionary Game Theory ◽  
Cultural Transmission ◽  
Evolutionary Game ◽  
Behavioral Sciences ◽  
The Social ◽  
Cultural Evolutionary

We applaud Gintis's attempt to provide an evolutionary-based framework for the behavioral sciences, and note a number of similarities with our own recent cultural evolutionary structure for the social sciences. Gintis's proposal would be further strengthened by a greater emphasis on additional methods to evolutionary game theory, clearer empirical predictions, and a broader consideration of cultural transmission.

scholarly journals A Study of Taxi Service Mode Choice Based on Evolutionary Game Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Mode Choice ◽  
Evolutionary Game ◽  
Payoff Matrix ◽  
Game Model ◽  
Stable States ◽  
Taxi Service ◽  
Service Mode ◽  
The Impact

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.

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