Multi-agent learning and the descriptive value of simple models Export

@article{citeulike:5979000, abstract = {Behavioral research suggests that human learning in some multi-agent systems can be predicted with surprisingly simple ” foresight-free” models. The current note discusses the implications of this research, and its relationship to the observation that social interactions tend to complicate learning.}, author = {Erev, I. and Roth, A.}, citeulike-article-id = {5979000}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.artint.2007.01.001}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0004370207000057}, doi = {10.1016/j.artint.2007.01.001}, issn = {00043702}, journal = {Artificial Intelligence}, keywords = {machinelearning, multiagentlearning, multiagentsystems}, month = {May}, number = {7}, pages = {423--428}, posted-at = {2009-10-21 09:45:45}, priority = {2}, title = {Multi-agent learning and the descriptive value of simple models}, url = {http://dx.doi.org/10.1016/j.artint.2007.01.001}, volume = {171}, year = {2007} }

TY - JOUR ID - citeulike:5979000 L3 - citeulike-article-id:5979000 N2 - Behavioral research suggests that human learning in some multi-agent systems can be predicted with surprisingly simple “foresight-free” models. The current note discusses the implications of this research, and its relationship to the observation that social interactions tend to complicate learning. IS - 7 JF - Artificial Intelligence SN - 00043702 EP - 428 TI - Multi-agent learning and the descriptive value of simple models VL - 171 SP - 423 KW - machinelearning KW - multiagentlearning KW - multiagentsystems AU - Erev, I AU - Roth, A PY - 2007/05// UR - http://dx.doi.org/10.1016/j.artint.2007.01.001 ER -