The paper discusses the relation between experimental economics and the cognitive approach, after having outlined the chief characteristics of the major lines of research in both areas, also with reference to the historical development and to methodological issues. Then the attention is focused...

Artificial life (alife) is the bottom-up study of basic phenomena commonly associated with living agents, such as self- replication, evolution, adaptation, self-organization, exploitation, competition, cooperation, and social network formation. Alife complements the traditional biological and...

Agent-based computational economics (ACE)is the computational study of economies modelled as evolving systems of autonomous interacting agents. This short paper is a brief guide to recent ACE research. For more information, visit the ACE Web site at http://www.econ.iastate.edu/tesfatsi/ace.htm....

We report experimental results on one-shot two person 3x3 constant sum games played by non-economists without previous experience in the laboratory. Although strategically our games are very similar to previous experiments in which game theory predictions fail dramatically, 80% of actions taken...

This paper proposes a synoptic methodology to evaluate the determinants of audit fees by utilising Neural Networks. First, a brief discussion is presented to highlight the significant application of Neural Network in the areas of financial management; second the framework of proposed methodology...

Surveys provide widely cited measures of political knowledge. Do unusual aspects of survey interviews affect these measures? An experiment on a nationally representative sample of over 1200 Americans provides an answer. Respondents are randomly assigned to one of four groups. A control group...

We design a novel sequential public goods experiment to study reciprocity, or conditional cooperation. In contrast to the standard simultaneous contribution game, our sequential design provides direct evidence on how subjects condition their own contributions on the contributions of other...

Evolutionary theory reveals that punishment is effective in promoting cooperation and maintaining social norms. Although it is accepted that emotions are connected to punishment decisions, there remains substantial debate over why humans use costly punishment. Here we show experimentally that...

This work illustrates an approach to the study of labeling, aka 'object classification'. This kind of parallel computing problem well suites to AI applications (pattern recognition, edge detection, etc.) Our target consists in simplifying an overly computationally costly algorithm proposed by...