Decision making : uncertainty, imperfection, deliberation and scalability
著者
書誌事項
Decision making : uncertainty, imperfection, deliberation and scalability
（Studies in computational intelligence, v. 538）
Springer, c2015
大学図書館所蔵 件 / 全1件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references
内容説明・目次
内容説明
This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selfish decision makers.
The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making.
Topics addressed include uncertainty, deliberation cost and the complexity arising from the inherent large computational scale of decision making in these systems.
In particular, analyses and experiments are presented which concern:
* task allocation to maximize "the wisdom of the crowd";
* design of a society of "edutainment" robots who account for one anothers' emotional states;
* recognizing and counteracting seemingly non-rational human decision making;
* coping with extreme scale when learning causality in networks;
* efficiently incorporating expert knowledge in personalized medicine;
* the effects of personality on risky decision making.
The volume is a valuable source for researchers, graduate students and practitioners in machine learning, stochastic control, robotics, and economics, among other fields.
目次
Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems.- Designing Societies of Robots.- On the Origins of Imperfection and Apparent Non-Rationality.- Lasso Granger Causal Models: Some Strategies and their Efficiency for Gene Expression Regulatory Networks.- Cooperative Feature Selection in Personalized Medicine.- Imperfect Decision Making and Risk Taking are affected by Personality.
「Nielsen BookData」 より