Carnegie Mellon University
Institute for Software Research
Assessing the risk of terrorism, and terrorist threats is a difficult and complex undertaking. As we have argued elsewhere (Fellman, 2011), official government estimates produced by national boards have a tendency to use probabilistic... more
Assessing the risk of terrorism, and terrorist threats is a difficult and complex undertaking. As we have argued elsewhere (Fellman, 2011), official government estimates produced by national boards have a tendency to use probabilistic language in a rather loose fashion, placing excessive emphasis on often ill-defined or incomplete analytical models.
- by Gregory Parnell and +1
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Page 1. Annu. Rev. Sociol. 1994. 20:407-36 Copyright ?1994 by Annual Reviews Inc. All rights reserved ARTIFICIAL SOCIAL INTELLIGENCE 1 William Sims Bainbridge Sociology Program Director, National Science Foundation ...
While structured by social and institutional networks, disease outbreaks are modulated by physical, economical, technological, communication, health, and governmental infrastructures. To systematically reason about the nature of... more
While structured by social and institutional networks, disease outbreaks are modulated by physical, economical, technological, communication, health, and governmental infrastructures. To systematically reason about the nature of outbreaks, the potential outcomes of media, prophylaxis, and vaccination campaigns, and the relative value of various early warning devices, social context, and infrastructure, must be considered. Numerical models provide a cost-effective ethical system
Information and Organization Design Series series editors Richard M. Burton B0rge Obel ORGANIZATIONAL LEARNING: Creating, Retaining and Transferring Knowledge/ by Linda Argote STRATEGIC ORGANIZATIONAL DIAGNOSIS AND DESIGN/ by Richard M.... more
Information and Organization Design Series series editors Richard M. Burton B0rge Obel ORGANIZATIONAL LEARNING: Creating, Retaining and Transferring Knowledge/ by Linda Argote STRATEGIC ORGANIZATIONAL DIAGNOSIS AND DESIGN/ by Richard M. Burton, B0rge Obel ...
- by Kathleen M. Carley and +1
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Abstract: We conducted the second data analysis with a new game log record dataset and focused on what the optimal team structure is in terms of communication and movement. We utilized regression analyses and correspondence analyses to... more
Abstract: We conducted the second data analysis with a new game log record dataset and focused on what the optimal team structure is in terms of communication and movement. We utilized regression analyses and correspondence analyses to make the optimal network, and we identified several important features of optimal networks from those analyses. Furthermore we coded Network Fitter and used it to make a computer program figure out the most effective team organization. From the fitting result, we could obtain five optimal ...
2005 Technical Reports by Author Institute for Software Research International School of Computer Science, Carnegie Mellon University. ABI-ANTOUN, Marwan CMU-ISRI-05-128. AIROLDI, Edoardo M. CMU-ISRI-05-111, CMU-ISRI-05-131. ALDRICH,... more
2005 Technical Reports by Author Institute for Software Research International School of Computer Science, Carnegie Mellon University. ABI-ANTOUN, Marwan CMU-ISRI-05-128. AIROLDI, Edoardo M. CMU-ISRI-05-111, CMU-ISRI-05-131. ALDRICH, Jonathan CMU-ISRI-05-102, CMU-ISRI-05-128. ANDREWS, James CMU-ISRI-05-137. ARUNACHALAM, Raghu CMU-ISRI-05-132. BENISCH, Michael CMU-ISRI-05-137, CMU-ISRI-05-140. CARLEY ...
- by Oleg Shigiltchoff and +2
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ABSTRACT Validating a computational model is important as it establishes that the model has met its intended purpose of representing the system under study. In this paper, we perform a validation study on Construct, a multiagent network... more
ABSTRACT Validating a computational model is important as it establishes that the model has met its intended purpose of representing the system under study. In this paper, we perform a validation study on Construct, a multiagent network model for the coevolution of agents and the sociocultural environments that they inhabit. In particular, we focus on validating agent interactions produced by the model against empirical communication networks collected in real-world organizations. Validation is performed using our novel calibrated grounding technique. Results show that Construct can produce valid agent interactions. The benefits and implications of the study are discussed.
- by Kathleen M. Carley and +1
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The Construct technical report describes the Construct model and lists the theories which it incorporates. Scientific literature that has used the model is listed as well as representative examples of real-world use within organizations.... more
The Construct technical report describes the Construct model and lists the theories which it incorporates. Scientific literature that has used the model is listed as well as representative examples of real-world use within organizations. The report also defines the input and output variables and describes the various input and output files used with Construct. System requirements and performance characteristics are
- by Kathleen M. Carley and +1
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- Network Model
,,,____________________________________________________________ Identifying and retaining key personnel is a major concern for knowledgebased enterprises. This paper applies social network criticality measures that take into account the... more
,,,____________________________________________________________ Identifying and retaining key personnel is a major concern for knowledgebased enterprises. This paper applies social network criticality measures that take into account the knowledge, task and communication networks in order to identify key personnel. We then go one step further and perform aturnover risk analysis on ,the key personnel by way ,of simulation. Results show that the
"Academic... more
"Academic genealogy" refers to the linking of scientists and scholars based on their dissertation supervisors. We propose that this concept can be applied to medical training and that this "medical academic genealogy" may influence the landscape of the peer-reviewed literature. We performed a comprehensive PubMed search to identify US authors who have contributed peer-reviewed articles on a neurosurgery topic that remains controversial: the value of maximal resection for high-grade gliomas (HGGs). Training information for each key author (defined as the first or last author of an article) was collected (eg, author's medical school, residency, and fellowship training). Authors were recursively linked to faculty mentors to form genealogies. Correlations between genealogy and publication result were examined. Our search identified 108 articles with 160 unique key authors. Authors who were members of 2 genealogies (14% of key authors) contributed to 38% of all articles. If an article contained an authorship contribution from the first genealogy, its results were more likely to support maximal resection (log odds ratio = 2.74, p < 0.028) relative to articles without such contribution. In contrast, if an article contained an authorship contribution from the second genealogy, it was less likely to support maximal resection (log odds ratio = -1.74, p < 0.026). We conclude that the literature on surgical resection for HGGs is influenced by medical academic genealogies, and that articles contributed by authors of select genealogies share common results. These findings have important implications for the interpretation of scientific literature, design of medical training, and health care policy. Ann Neurol 2016.
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A fundamental aspect of human beings is that they learn. The process of learning and what is learned are impacted by a number of factors, both cognitive and social; that is, humans are boundedly rational. Cognitive and social limitations... more
A fundamental aspect of human beings is that they learn. The process of learning and what is learned are impacted by a number of factors, both cognitive and social; that is, humans are boundedly rational. Cognitive and social limitations interact, making it difficult to reason about how to provide information to impact what humans know, believe, and do. Herein, we use a multi-agent dynamic-network simulation system, Construct, to conduct such reasoning. In particular, we ask, What media should be used to provide information to most impact what people know, believe, and do, given diverse social structures? All simulated agents are boundedly rational both at the cognitive and social level, and so are subject to factors such as literacy, education, and the breadth of their social network. We find that there is no one most effective intervention; rather, to be effective, messages and the media used to spread the message need to be selected for the population being addressed. Typically, a multimedia campaign is critical.
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