Proxyeconomics, a theory and model of proxy-based competition and cultural evolution

被引:9
作者
Braganza, Oliver [1 ,2 ]
机构
[1] Univ Bonn, Inst Expt Epileptol & Cognit Res, Bonn, Germany
[2] Univ Bonn, Ctr Sci & Thought, Bonn, Germany
关键词
Campbell's Law; Goodhart's Law; agent-based model; proxy; multitasking; replicability crisis; climate inaction; PROSPECT-THEORY; INCENTIVE CONTRACTS; DECISION-MAKING; PERFORMANCE; RISK; PAY; INDIVIDUALS; TOURNAMENTS; ECONOMICS; SUCCESS;
D O I
10.1098/rsos.211030
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Competitive societal systems by necessity rely on imperfect proxy measures. For instance, profit is used to measure value to consumers, patient volumes to measure hospital performance, or the journal impact factor to measure scientific value. While there are numerous reasons why proxies will deviate from the underlying societal goals, they will nevertheless determine the selection of cultural practices and guide individual decisions. These considerations suggest that the study of proxy-based competition requires the integration of cultural evolution theory and economics or decision theory. Here, we attempt such an integration in two ways. First, we describe an agent-based simulation model, combining methods and insights from these disciplines. The model suggests that an individual intrinsic incentive can constrain a cultural evolutionary pressure, which would otherwise enforce fully proxy-oriented practices. The emergent outcome is distinct from that with either the isolated economic or evolutionary mechanism. It reflects what we term lock-in, where competitive pressure can undermine the ability of agents to pursue the shared social goal. Second, we elaborate the broader context, outlining the system-theoretic foundations as well as some philosophical and practical implications, towards a broader theory. Overall, we suggest such a theory may offer an explanatory and predictive framework for diverse subjects, ranging from scientific replicability to climate inaction, and outlining strategies for diagnosis and mitigation.
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