The Reputation Economy Paradigm: Toward an Evolutionary Psychology 2.0

This paper introduces the Reputation Economy Paradigm (REP) as a novel framework for explaining the unusually rapid evolution of distinctively human cognitive traits. While traditional evolutionary psychology has explained many domain-specific adaptations—such as mating strategies, aggression, fear, and jealousy—it lacks a model that accounts for the accelerated emergence of complex traits such language, mental time travel, understanding the beliefs of others, moral agency, value sensitivity and self-awareness. Unlike reciprocity-based models that treat reputation merely as a means to future cooperation creating instrumental benefit for the individual, REP proposes a social configuration in which reputation served as the ultimate evolutionary currency, influencing reproductive success either directly through mate choice or indirectly via social status, and thereby exerting sustained selection pressure on the evolution of human cognitive architecture. Building on over 40 years of research surrounding the development of Costly Signaling Theory of Hunting, it is proposed that human cognition evolved under a novel, distinctive selective regime in which individuals are adapted to trade off between reputational and instrumental outcomes. Given that this trade-off would be cognitively demanding, it likely fueled an evolutionary arms race in social-cognitive strategies, driving the accelerated emergence of the aforementioned distinctively human cognitive traits. This proposal represents a first integrative framework—one that can accumulate support to the extent that it unifies the explanation of various uniquely human traits, often studied across different fields. In doing so, it may offer organizing principles for future empirical research on human behavior.

Authors

Publication Details

Published
2025-08-12
DOI
https://doi.org/10.31234/osf.io/ztndb_v1
Primary Topic
Experimental Behavioral Economics Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Reputation Economy Paradigm: Toward an Evolutionary Psychology 2.0

Till Nikolaus von Heiseler
1 links
Experimental Behavioral Economics Studies
article

The Reputation Economy Paradigm: Toward an Evolutionary Psychology 2.0

Till Nikolaus von Heiseler
article en

Abstract

This paper introduces the Reputation Economy Paradigm (REP) as a novel framework for explaining the unusually rapid evolution of distinctively human cognitive traits. While traditional evolutionary psychology has explained many domain-specific adaptations—such as mating strategies, aggression, fear, and jealousy—it lacks a model that accounts for the accelerated emergence of complex traits such language, mental time travel, understanding the beliefs of others, moral agency, value sensitivity and self-awareness. Unlike reciprocity-based models that treat reputation merely as a means to future cooperation creating instrumental benefit for the individual, REP proposes a social configuration in which reputation served as the ultimate evolutionary currency, influencing reproductive success either directly through mate choice or indirectly via social status, and thereby exerting sustained selection pressure on the evolution of human cognitive architecture. Building on over 40 years of research surrounding the development of Costly Signaling Theory of Hunting, it is proposed that human cognition evolved under a novel, distinctive selective regime in which individuals are adapted to trade off between reputational and instrumental outcomes. Given that this trade-off would be cognitively demanding, it likely fueled an evolutionary arms race in social-cognitive strategies, driving the accelerated emergence of the aforementioned distinctively human cognitive traits. This proposal represents a first integrative framework—one that can accumulate support to the extent that it unifies the explanation of various uniquely human traits, often studied across different fields. In doing so, it may offer organizing principles for future empirical research on human behavior.

Openalex Percentile: Top 80%
Experimental Behavioral Economics Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.