%0 Conference Paper %1 Wunder2011 %A Wunder, Michael %A Kaisers, Michael %A Yaros, J.R. %A Littman, Michael %B Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011) %D 2011 %E Tumer, %E Yolum, %E Sonenberg, %E Stone, %I International Foundation for AAMAS %K cognitive games models,iterated reasoning,multiagent systems,pomdps,repeated %P 593--600 %T Using iterated reasoning to predict opponent strategies %U http://paul.rutgers.edu/~mwunder/pub/LG\_PIPOMDP.pdf %X The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For example, behavioral economists conclude from experimental results that people act according to levels of reasoning that form a ���?�??cognitive hierarchy���?�?? of strategies, rather than merely following the hyper-rational Nash equilibrium solution concept. This paper expands this model of the iterative reasoning process by widening the notion of a ...

@inproceedings{Wunder2011, abstract = {The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For example, behavioral economists conclude from experimental results that people act according to levels of reasoning that form a ���?�??cognitive hierarchy���?�?? of strategies, rather than merely following the hyper-rational Nash equilibrium solution concept. This paper expands this model of the iterative reasoning process by widening the notion of a ...}, added-at = {2016-12-19T12:09:05.000+0100}, author = {Wunder, Michael and Kaisers, Michael and Yaros, J.R. and Littman, Michael}, biburl = {https://www.bibsonomy.org/bibtex/2fe54dd6a286908ab7d8068114ac9f9d5/swarmlab}, booktitle = {Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011)}, editor = {Tumer and Yolum and Sonenberg and Stone}, file = {:Users/mkaisers/Dropbox/Mendeley/2011 - Using iterated reasoning to predict opponent strategies - Wunder et al.pdf:pdf}, interhash = {c0296075b143bad88b737430858ec231}, intrahash = {fe54dd6a286908ab7d8068114ac9f9d5}, keywords = {cognitive games models,iterated reasoning,multiagent systems,pomdps,repeated}, pages = {593--600}, publisher = {International Foundation for AAMAS}, timestamp = {2016-12-19T12:18:59.000+0100}, title = {{Using iterated reasoning to predict opponent strategies}}, url = {http://paul.rutgers.edu/~mwunder/pub/LG\_PIPOMDP.pdf}, year = 2011 }