1,721,010 research outputs found
An experimental examination of the heuristics switching model in learning-to-forecast tasks
A Comparison of Trading Agents in Double Auction Markets: Human-Written Strategies versus Software Agents
Insights into the accuracy of social scientists' forecasts of societal change
How well can social scientists predict societal change, and what processes underlie their predictions? To answer these questions, we ran two forecasting tournaments testing accuracy of predictions of societal change in domains commonly studied in the social sciences: ideological preferences, political polarization, life satisfaction, sentiment on social media, and gender-career and racial bias. Following provision of historical trend data on the domain, social scientists submitted pre-registered monthly forecasts for a year (Tournament 1; N=86 teams/359 forecasts), with an opportunity to update forecasts based on new data six months later (Tournament 2; N=120 teams/546 forecasts). Benchmarking forecasting accuracy revealed that social scientists’ forecasts were on average no more accurate than simple statistical models (historical means, random walk, or linear regressions) or the aggregate forecasts of a sample from the general public (N=802). However, scientists were more accurate if they had scientific expertise in a prediction domain, were interdisciplinary, used simpler models, and based predictions on prior data
A Preview of the Third International Workshop on Computational Intelligence in Economics and Finance (CIEF'2003): (Opening Adddress)
The Formation and Destruction of Trust: Experimental Evidence from Network-Based Trust Games
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