scispace - formally typeset
Search or ask a question
Institution

Carnegie Mellon University

EducationPittsburgh, Pennsylvania, United States
About: Carnegie Mellon University is a education organization based out in Pittsburgh, Pennsylvania, United States. It is known for research contribution in the topics: Population & Robot. The organization has 36317 authors who have published 104359 publications receiving 5975734 citations. The organization is also known as: CMU & Carnegie Mellon.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, the authors examine the sequential equilibrium reputation hypothesis in the finitely repeated prisoner's dilemma and find that there may be no difference between the beliefs that an opponent is altruistic and the actual chance it is so.
Abstract: This paper presents experiments designed to examine the sequential equilibrium reputation hypothesis in the finitely repeated prisoner's dilemma. The authors test the hypothesis by controlling the subjects' ability to build reputations and by manipulating their beliefs that their opponent is irrational or altruistic. The responses of subjects strongly support the sequential equilibrium prediction. The results also suggest an important role for 'homemade altruism,' that is, a natural tendency to cooperate that subjects bring to the experiment from the outside. The authors find that there may be no difference between the beliefs that an opponent is altruistic and the actual chance it is so. Copyright 1993 by Royal Economic Society.

837 citations

Proceedings ArticleDOI
23 Feb 2013
TL;DR: This paper outlines a framework that will enable crowd work that is complex, collaborative, and sustainable, and lays out research challenges in twelve major areas: workflow, task assignment, hierarchy, real-time response, synchronous collaboration, quality control, crowds guiding AIs, AIs guiding crowds, platforms, job design, reputation, and motivation.
Abstract: Paid crowd work offers remarkable opportunities for improving productivity, social mobility, and the global economy by engaging a geographically distributed workforce to complete complex tasks on demand and at scale. But it is also possible that crowd work will fail to achieve its potential, focusing on assembly-line piecework. Can we foresee a future crowd workplace in which we would want our children to participate? This paper frames the major challenges that stand in the way of this goal. Drawing on theory from organizational behavior and distributed computing, as well as direct feedback from workers, we outline a framework that will enable crowd work that is complex, collaborative, and sustainable. The framework lays out research challenges in twelve major areas: workflow, task assignment, hierarchy, real-time response, synchronous collaboration, quality control, crowds guiding AIs, AIs guiding crowds, platforms, job design, reputation, and motivation.

836 citations

Journal ArticleDOI
TL;DR: Some usability and interpretability issues for single-strategy cognitive assessment models are considered and an example shows that these models can be sensitive to cognitive attributes, even in data designed to well fit the Rasch model.
Abstract: Some usability and interpretability issues for single-strategy cognitive assessment models are considered. These models posit a stochastic conjunctive relationship between a set of cognitive attributes to be assessed and performance on particular items/tasks in the assessment. The models considered make few assumptions about the relationship between latent attributes and task performance beyond a simple conjunctive structure. An example shows that these models can be sensitive to cognitive attributes, even in data designed to well fit the Rasch model. Several stochastic ordering and monotonicity properties are considered that enhance the interpretability of the models. Simple data summaries are identified that inform about the presence or absence of cognitive attributes when the full computational power needed to estimate the models is not available.

836 citations

Journal ArticleDOI
TL;DR: In this paper, the performance of a hybrid of density functional theory and Hartree-Fock theory, the B-LYP/HF procedure, has been examined with a variety of basis sets.

836 citations

Journal ArticleDOI
01 Apr 2006
TL;DR: In this article, the authors explore the promise organization research offers for improved management practice and how, at present, it falls short using evidence-based medicine as an exemplar, identify ways of closing the prevailing "research-practice gap" and close with guidance for researchers, educators, and managers for translating the principles governing human behavior and organizational processes into more effective management practice.
Abstract: I explore the promise organization research offers for improved management practice and how, at present, it falls short Using evidence-based medicine as an exemplar, I identify ways of closing the prevailing “research-practice gap”-- the failure of organizations and managers to base practices on best available evidence I close with guidance for researchers, educators, and managers for translating the principles governing human behavior and organizational processes into more effective management practice

835 citations


Authors

Showing all 36645 results

NameH-indexPapersCitations
Yi Chen2174342293080
Rakesh K. Jain2001467177727
Robert C. Nichol187851162994
Michael I. Jordan1761016216204
Jasvinder A. Singh1762382223370
J. N. Butler1722525175561
P. Chang1702154151783
Krzysztof Matyjaszewski1691431128585
Yang Yang1642704144071
Geoffrey E. Hinton157414409047
Herbert A. Simon157745194597
Yongsun Kim1562588145619
Terrence J. Sejnowski155845117382
John B. Goodenough1511064113741
Scott Shenker150454118017
Network Information
Related Institutions (5)
Massachusetts Institute of Technology
268K papers, 18.2M citations

95% related

University of Maryland, College Park
155.9K papers, 7.2M citations

93% related

University of Illinois at Urbana–Champaign
225.1K papers, 10.1M citations

93% related

IBM
253.9K papers, 7.4M citations

93% related

Princeton University
146.7K papers, 9.1M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023120
2022499
20214,980
20205,375
20195,420
20184,972