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on Evolutionary Economics |
| By: | Wang Zhijian; Shan Lixia; Yao Qinmei; Wang Yijia |
| Abstract: | We conducted a laboratory experiment involving human subjects to test the theoretical hypothesis that equilibrium selection can be impacted by manipulating the games dynamics process, by using modern control theory. Our findings indicate that human behavior consists with the predictions derived from evolutionary game theory paradigm. The consistency is supported by three key observations: (1) the long-term distribution of strategies in the strategy space, (2) the cyclic patterns observed within this space, and (3) the speed of convergence to the selected equilibrium. These findings suggest that the design of controllers aimed at equilibrium selection can indeed achieve their theoretical intended purpose. The location of this study in the knowledge tree of evolutionary game science is presented. |
| Date: | 2024–11 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2411.06847 |
| By: | Monnier, Anne; Adel, Lena (McGill University); Dumas, Guillaume (Institut Pasteur) |
| Abstract: | Generative phenomenology investigates consciousness by incorporating its intersubjective, social, cultural, and historical dimensions. For the past 30 years, the neurophenomenology pragmatic approach has embraced an embodied perspective of the mind by integrating experiential first-person and neurobehavioural third-person data. Neurophenomenology reveals mutual constraints between the two, as first- and third-person data co-constitute the conscious experience of a person. This article emphasises the intersubjective and social facets of lived experience as well as the readiness of the community to use a "generative neurophenomenology" approach. For this endeavour, we propose to combine existing practices and methods to update the neurophenomenological program of research started in the 90ies: First, by transitioning from individual to multiple people phenomenology methods that include intersubjectivity experience; second, by expanding traditional neuroscience to include measures of multimodal interpersonal synchrony; and third, by leveraging multiple computational tools to integrate different viewpoints, thereby enriching our understanding of conscious experience, on top of better capturing invariants of human experience; We also underscore the potential of diverse mathematical formalisms to capture aspects of human experience, all while underscoring that using computational approaches to model neurophenomenology does not entail endorsing computationalism as a grounding hypothesis of human experience. Finally, we highlight the implications of using this paradigm in psychiatry. |
| Date: | 2024–11–06 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:5wuyn |
| By: | Fessler, Pirmin; Rapp, Severin |
| Abstract: | We estimate the relationship between people’s biased perceptions of their rank in the wealth distribution and savings behavior. Using unique wealth survey data from Austria, we uncover a significant bias in self-assessed distributional ranks. Our estimates indicate that individuals who underestimate their wealth rank have a savings rate approximately 50% higher than those who assess their rank accurately. Preferences that feature relative wealth in the utility function can explain this relationship. Our findings inform contemporary macroeconomic models and contribute to understanding the impact of information bubbles on economic decisions. (Stone Center on Socio-Economic Inequality Working Paper) |
| Date: | 2024–11–14 |
| URL: | https://d.repec.org/n?u=RePEc:osf:socarx:3x4jh |
| By: | Qiang Wan; Jun Cui |
| Abstract: | This paper explores the impact of banking fintech on reducing financial risks in the agricultural supply chain, focusing on the secondary allocation of commercial credit. The study constructs a three-player evolutionary game model involving banks, core enterprises, and SMEs to analyze how fintech innovations, such as big data credit assessment, blockchain, and AI-driven risk evaluation, influence financial risks and access to credit. The findings reveal that banking fintech reduces financing costs and mitigates financial risks by improving transaction reliability, enhancing risk identification, and minimizing information asymmetry. By optimizing cooperation between banks, core enterprises, and SMEs, fintech solutions enhance the stability of the agricultural supply chain, contributing to rural revitalization goals and sustainable agricultural development. The study provides new theoretical insights and practical recommendations for improving agricultural finance systems and reducing financial risks. Keywords: banking fintech, agricultural supply chain, financial risk, commercial credit, SMEs, evolutionary game model, big data, blockchain, AI-driven risk evaluation. |
| Date: | 2024–11 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2411.07604 |