Evaluation Criteria for Learning Mechanisms applied to Agents in a Cross-Cultural Simulation Export

@incollection{citeulike:1339048, abstract = {In problems with non-specific equilibrium, common in social sciences, the processes involved in learning mechanisms can produce quite different outcomes. However, it is quite difficult to define which of the learning mechanisms is the best. When considering the case of a cross-cultural environment, it is necessary to evaluate how adaptation to different cultures occurs while keeping, at some level, the cultural diversity among the groups. This paper focuses on identifying an evaluation criterion using a comparison of various learning mechanisms that can manage the trade-off between adaptation to a new culture and the preservation of cultural diversity. Results show that: (a) For small and gradual accuracy from a less accurate learning mechanism, there is a tiny reduction in the diversity while the convergence time drops rapidly. For an accuracy level close to the most accurate learning mechanism, a reduction of the convergence time can be minor, while the diversity drops rapidly; (b) The evaluation of learning mechanism that performs better for fast converging while simultaneously keeping a good diversity before the convergence was performed graphically.}, author = {Leon and Takadama, Keiki and Shimohara, Katsunori and Katai, Osarnu and Arai, Kiyoshi}, citeulike-article-id = {1339048}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/4-431-26925-8_9}, doi = {10.1007/4-431-26925-8_9}, journal = {Agent-Based Simulation: From Modeling Methodologies to Real-World Applications}, keywords = {assimilation, culture, mas}, pages = {89--98}, posted-at = {2007-05-28 19:00:08}, priority = {5}, title = {Evaluation Criteria for Learning Mechanisms applied to Agents in a Cross-Cultural Simulation}, url = {http://dx.doi.org/10.1007/4-431-26925-8_9}, year = {2005} }

TY - CHAP ID - citeulike:1339048 L3 - citeulike-article-id:1339048 N2 - In problems with non-specific equilibrium, common in social sciences, the processes involved in learning mechanisms can produce quite different outcomes. However, it is quite difficult to define which of the learning mechanisms is the best. When considering the case of a cross-cultural environment, it is necessary to evaluate how adaptation to different cultures occurs while keeping, at some level, the cultural diversity among the groups. This paper focuses on identifying an evaluation criterion using a comparison of various learning mechanisms that can manage the trade-off between adaptation to a new culture and the preservation of cultural diversity. Results show that: (a) For small and gradual accuracy from a less accurate learning mechanism, there is a tiny reduction in the diversity while the convergence time drops rapidly. For an accuracy level close to the most accurate learning mechanism, a reduction of the convergence time can be minor, while the diversity drops rapidly; (b) The evaluation of learning mechanism that performs better for fast converging while simultaneously keeping a good diversity before the convergence was performed graphically. JF - Agent-Based Simulation: From Modeling Methodologies to Real-World Applications EP - 98 TI - Evaluation Criteria for Learning Mechanisms applied to Agents in a Cross-Cultural Simulation SP - 89 KW - assimilation KW - culture KW - mas AU - Leon AU - Takadama, Keiki AU - Shimohara, Katsunori AU - Katai, Osarnu AU - Arai, Kiyoshi PY - 2005/// UR - http://dx.doi.org/10.1007/4-431-26925-8_9 ER -