HSD-DRU: The Role of Communication in the Dynamics of Effective Decision Making
HSD-DRU:沟通在有效决策动态中的作用
基本信息
- 批准号:0624191
- 负责人:
- 金额:$ 68.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-03-01 至 2011-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Group decision making is a key social behavior in most complex human organizations. While decisions are made on an individual level, these individual decisions can have profound cumulative impact on the group as a whole. However, without proper communication, it is often difficult for individuals in large organizations or societies to appreciate how their decisions will impact others and, therefore, for them to make effective decisions. To better understand the unique and complex role communication has in the dynamics of the decision-making process, a multidisciplinary team of scientists will carry out a diverse series of targeted experiments to achieve these goals. The experiments will address information acquisition and interpersonal communication patterns. The goal of the project is not only to identify how groups of individual decision makers use communication to arrive at better decisions, but to understand how to apply this knowledge to create tools that improve human decision making by fostering the best types of communication.
小组决策是大多数复杂人类组织的关键社会行为。 尽管决策是在个人层面上做出的,但这些个人决策可能会对整个小组产生深远的累积影响。 但是,如果没有适当的沟通,大型组织或社会中的个人通常很难欣赏他们的决策将如何影响他人,从而使他们做出有效的决定。 为了更好地了解沟通在决策过程的动态中所具有的独特而复杂的作用,多学科的科学家团队将进行一系列有针对性的实验,以实现这些目标。 实验将解决信息获取和人际交流模式。 该项目的目的不仅是确定个人决策者群体如何使用沟通来做出更好的决策,而且还要了解如何应用这些知识来创建通过促进最佳交流类型来改善人类决策的工具。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Michael Littman其他文献
Model-based reasoning
基于模型的推理
- DOI:
10.1016/j.compedu.2012.11.014 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Michael Jackson;Janusz Wojtusiak;Dayne Freitag;Eugene Subbotsky;Hans M. Nordahl;Jens C. Thimm;John Burgoyne;Roberto Poli;Thomas R. Guskey;Michael Davison;J. Magnotti;Adam M. Goodman;Jeffrey S. Katz;L. Verschaffel;W. Dooren;B. Smedt;Sean A. Fulop;Melva R. Grant;Leonid I. Perlovsky;B. De Smedt;P. Ghesquière;Dariusz Plewczynski;Leily Ziglari;P. Birjandi;Scott Rick;Roberto Weber;N. Seel;Maike Luhmann;Michael Eid;A. Antonietti;Barbara Colombo;Hamish Coates;Ali Radloff;P. Pirnay;Dirk Ifenthaler;Edward Swing;Craig A Anderson;David Tzuriel;Norman M. Weinberger;David C. Riccio;Patrick K. Cullen;J. Tallet;Megan L. Hoffman;David A. Washburn;Iván Izquierdo;Jorge H. Medina;M. Cammarota;A. Podolskiy;Joke Torbeyns;J. Kranzler;P. A. Kirschner;F. Kirschner;Kenn Apel;Julie A. Wolter;J. Masterson;JungMi Lee;Stefan N Groesser;Sabine Al;Philip Barker;Paul Schaik;I. Cutica;Monica Bucciarelli;K. Pata;Anna Strasser;A. Guillot;N. Hoyek;Christian Collet;Maria Opfermann;Roger Azevedo;Detlev Leutner;Thomas C. Toppino;Alice Y. Kolb;David A. Kolb;P. Brazdil;Ricardo Vilalta;Carlos Soares;C. Giraud;Jeffrey W. Bloom;Tyler Volk;Marwan A. Dwairy;Richard A. Swanson;Johanna Pöysä;K. Luwel;Theo Hug;Angélique Martin;Nicolas Guéguen;Craig Hassed;Fabio Alivernini;Michael Herczeg;M. Mastropieri;T. Scruggs;Angelika Rieder;S. Castillo;Gerardo Ayala;R. Low;R. Babuška;Barbara C. Buckley;Henry Markovits;Sungho Kim;In;Michael J. Spector;A. Towse;Charlie N. Lewis;Brian Francis;David N. Rapp;Pratim Sengupta;Sidney D’Mello;Serge Brand;J. Patry;Cees Klaassen;Sieglinde Weyringer;Alfred Weinberger;Marilla D. Svinicki;Jane S. Vogler;Andrew J. Martin;John M. Keller;ChanMin Kim;Gabriele Wulf;Lynne E. Parker;Michael Wunder;Michael Littman;Lisa J. Lehmberg;C. Victor Fung;Hannele Niemi;Steven Reiss;Piet Desmet;F. Cornillie;Helmut M. Niegemann;Steffi Heidig;Dominic W. Massaro;Charles Fadel;Cheryl Lemke;R. Grabner;Michael D. Basil;Daniel R. Little;Stephan Lewandowsky;Parmjit Singh;Zheng Liu;Marcelo H. Ang;W. Seah;Jack Heller;C. Randles;Kenneth S. Aigen - 通讯作者:
Kenneth S. Aigen
Computably Continuous Reinforcement-Learning Objectives are PAC-learnable
可计算连续强化学习目标是 PAC 可学习的
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Cambridge Yang;Michael Littman;Michael Carbin - 通讯作者:
Michael Carbin
Michael Littman的其他文献
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{{ truncateString('Michael Littman', 18)}}的其他基金
EAGER: Training A Mobile Robot from Human Feedback via Income Learning
EAGER:通过收入学习根据人类反馈训练移动机器人
- 批准号:
1643413 - 财政年份:2016
- 资助金额:
$ 68.5万 - 项目类别:
Standard Grant
Collaborative Research: American Innovations in an Age of Discovery: Teaching Science and Engineering through 3D-printed Historical Reconstructions
合作研究:发现时代的美国创新:通过 3D 打印历史重建教授科学与工程
- 批准号:
1508319 - 财政年份:2015
- 资助金额:
$ 68.5万 - 项目类别:
Continuing Grant
RI: Medium: Collaborative Research: Teaching Computers to Follow Verbal Instructions
RI:媒介:协作研究:教计算机遵循口头指令
- 批准号:
1414931 - 财政年份:2013
- 资助金额:
$ 68.5万 - 项目类别:
Standard Grant
RI: Small: Understanding Value-based Multiagent Learning and Its Applications
RI:小:了解基于价值的多智能体学习及其应用
- 批准号:
1414935 - 财政年份:2013
- 资助金额:
$ 68.5万 - 项目类别:
Standard Grant
RI: Small: Collaborative Research: Speeding Up Learning through Modeling the Pragmatics of Training
RI:小型:协作研究:通过培训语用建模加速学习
- 批准号:
1319618 - 财政年份:2013
- 资助金额:
$ 68.5万 - 项目类别:
Continuing Grant
RI: Medium: Collaborative Research: Teaching Computers to Follow Verbal Instructions
RI:媒介:协作研究:教计算机遵循口头指令
- 批准号:
1065195 - 财政年份:2011
- 资助金额:
$ 68.5万 - 项目类别:
Standard Grant
RI: Small: Understanding Value-based Multiagent Learning and Its Applications
RI:小:了解基于价值的多智能体学习及其应用
- 批准号:
1018152 - 财政年份:2010
- 资助金额:
$ 68.5万 - 项目类别:
Standard Grant
Collaborative Research: Pilot Research on Language-Based Strategies for Creative Problem Solving
协作研究:基于语言的创造性问题解决策略的试点研究
- 批准号:
0757490 - 财政年份:2008
- 资助金额:
$ 68.5万 - 项目类别:
Standard Grant
RI: Collaborative Research: Feature Discovery and Benchmarks for Exportable Reinforcement Learning
RI:协作研究:可导出强化学习的特征发现和基准
- 批准号:
0713148 - 财政年份:2007
- 资助金额:
$ 68.5万 - 项目类别:
Standard Grant
Evaluating Next Generation Probabilistic Planners
评估下一代概率规划器
- 批准号:
0329153 - 财政年份:2003
- 资助金额:
$ 68.5万 - 项目类别:
Continuing Grant
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