The Evolutionary Dynamics of Cooperation in Collective Search

Tump, Alan Novaes; Wu, Charley M.; Bouhlel, Imen; Goldstone, Robert L.

doi:10.1101/538447

Cited by 2 publications

(2 citation statements)

References 24 publications

(38 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, instead of only assuming information is unilaterally shared along a deterministic social network, we also examined the rationality of when to freely share information (Bouhlel, Wu, Hanaki, & Goldstone, 2018;Tump, Wu, Bouhlel, & Goldstone, 2019). Inspired by the open source movement, we used both agent-based simulations and evolutionary algorithms to study the conditions in which it is beneficial to openly share information without any expectations of reciprocity.…”

Section: The Social Dimension Of Searchmentioning

confidence: 99%

Asking better questions: How presentation formats influence information search.

Wu¹,

Meder²,

Filimon³

et al. 2017

Journal of Experimental Psychology: Learning, Memory, and Cogni

Self Cite

View full text Add to dashboard Cite

While the influence of presentation formats have been widely studied in Bayesian reasoning tasks, we present the first systematic investigation of how presentation formats influence information search decisions. Four experiments were conducted across different probabilistic environments, where subjects (N = 2,858) chose between 2 possible search queries, each with binary probabilistic outcomes, with the goal of maximizing classification accuracy. We studied 14 different numerical and visual formats for presenting information about the search environment, constructed across 6 design features that have been prominently related to improvements in Bayesian reasoning accuracy (natural frequencies, posteriors, complement, spatial extent, countability, and part-to-whole information). The posterior variants of the icon array and bar graph formats led to the highest proportion of correct responses, and were substantially better than the standard probability format. Results suggest that presenting information in terms of posterior probabilities and visualizing natural frequencies using spatial extent (a perceptual feature) were especially helpful in guiding search decisions, although environments with a mixture of probabilistic and certain outcomes were challenging across all formats. Subjects who made more accurate probability judgments did not perform better on the search task, suggesting that simple decision heuristics may be used to make search decisions without explicitly applying Bayesian inference to compute probabilities. We propose a new take-the-difference (TTD) heuristic that identifies the accuracy-maximizing query without explicit computation of posterior probabilities. (PsycINFO Database Record

show abstract

Section: The Social Dimension Of Searchmentioning

confidence: 99%

Asking better questions: How presentation formats influence information search.

Wu¹,

Meder²,

Filimon³

et al. 2017

Journal of Experimental Psychology: Learning, Memory, and Cogni

Self Cite

View full text Add to dashboard Cite

show abstract

“…We used tournament selection in our evolutionary simulations (Tump, Wu, Bouhlel, & Goldstone, 2019): randomly sampled groups of four agents competed in one round of the socially correlated bandit task. The highest performing agent was selected to seed the next generation.…”

Section: Evolutionary Simulationsmentioning

confidence: 99%

Social learning with a grain of salt

Witt¹,

Toyokawa²,

Gaissmaier³

et al. 2023

Preprint

View full text Add to dashboard Cite

Humans are remarkably effective social learners, with several recent studies formalizing this capacity using computational models. However, previous research has often been limited to tasks where observer and demonstrator share the same reward function. In contrast, humans can learn from others who have different preferences, skills, or goals. To study social learning under individual differences, we introduce the socially correlated bandit, where participants have personalized rewards, which are correlated with but not identical to those of others. Social information can still be useful, but not when used verbatim. We present a model of Social Generalization that integrates individual and social information into the generalization process, but assumes social information to be noisier and thus less informative. This model out-competes previous models, with it being the dominant strategy in evolutionary simulations. Our findings expand on previous models of social learning, showing humans can integrate social information more flexibly than previously assumed.

show abstract

The Evolutionary Dynamics of Cooperation in Collective Search

Cited by 2 publications

References 24 publications

Asking better questions: How presentation formats influence information search.

Asking better questions: How presentation formats influence information search.

Social learning with a grain of salt

Contact Info

Product

Resources

About