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An Outcome-Based Learning Model to Identify Emerging Threats: Experimental and Simulation Results
2007
2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)
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This model integrates judgment, decision making, and learning theories to provide an integrated framework for the behavioral study of emerging threats. ...
Acknowledgments This work was funded in part by the U.S. Department of Homeland Security. ...
These parameters capture the size of the revision that human decision makers use when adjusting decision thresholds to find the optimal level. ...
doi:10.1109/hicss.2007.72
dblp:conf/hicss/Martinez-MoyanoCA07
fatcat:ootx2etosncr3mauxvmxr4hpba
From empirical findings to a formalized model: An agent-based approach to represent farmer decision-making on agri-environmental schemes
2021
Zenodo
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To capture the most important processes of the decision-making in this context, we [...] ...
In order to provide policy makers with an effective tool, an adequate representation of farmers' decision-making is crucial. ...
To capture the most important processes of the decision-making in this context, we first collected possible influence factors in an extensive literature search. ...
doi:10.5281/zenodo.5556469
fatcat:qiizbbc7nvdrhgtiqebkorj2eq
Remarks on "Network Structure and Its Impact on Commodity Markets"
2021
Production and operations management
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This allows for better capturing the heterogeneity of decision makers, thus modeling differences in how they translate available information into concrete decisions. ...
It allows for policy makers to evaluate past policies and fine-tune future changes to interventions. ...
doi:10.1111/poms.13535
fatcat:uvbemaior5ezla5i2pakvjlqfq
Behavior in Behavioral Strategy: Capturing, Measuring, Analyzing
[chapter]
2018
Advances in Strategic Management
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In this chapter, we present a toolbox of methods: We designed experimental tasks to simulate decision environments and capture behavior. ...
Measuring behavior requires techniques that can capture observed outcomes and expose underlying processes and mechanisms. ...
These help us achieve both: Capturing decisional outcomes -choices in ecologically valid settings -while accounting for their predictors through qualitative and quantitative analyses. ...
doi:10.1108/s0742-332220180000039016
fatcat:oisqaarbrzhxjefvs57azjfm5q
A Finite Memory Automaton for Two-Armed Bernoulli Bandit Problems
2017
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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To capture the computational limitations many decision making systems face, we explore performance under bounded resources in the form of imperfect recall of past information. ...
whether arm payoff probabilities can change. ...
Starting State Prior beliefs the decision maker may have can be captured in the initial rankings as the starting state. ...
doi:10.1609/aaai.v31i1.11115
fatcat:hx5taxwlgvfozfe3nu57jgfypm
Information, Utility and Bounded Rationality
[chapter]
2011
Lecture Notes in Computer Science
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Interrupted Decisions Q: Given that the decision maker is not allowed to reason about his own resources, how do we capture the notion of boundedness? ...
do we characterize behavior when the decision maker is bounded rational, i.e. when his processing resources are limited? ...
doi:10.1007/978-3-642-22887-2_28
fatcat:37s663wgevaxfmgrktnc2eyth4
Development and Validation of a Questionnaire to Detect Behavior Change in Multiple Advance Care Planning Behaviors
2013
PLoS ONE
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using 5-point Likert scales) and "Action Measures" (yes/no) of multiple behaviors related to surrogate decision makers, values and quality of life, flexibility for surrogate decision making, and informed ...
However, recent evidence suggests that advance care planning involves a series of multiple discrete behaviors for which people are in varying stages of behavior change. ...
One survey includes global questions concerning decisional balance, medical and religious beliefs, and processes of change for advance care planning in general, and another assesses stage of behavior change ...
doi:10.1371/journal.pone.0072465
pmid:24039772
pmcid:PMC3764010
fatcat:pu5r4eq4lretbcew2piu7gddey
Modeling Managerial Search Behavior based on Simon's Concept of Satisficing
[article]
2021
arXiv
pre-print
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Against this background, the paper proposes an alternative algorithm that captures key elements of Simon's concept of satisficing which received considerable support in behavioral experiments. ...
The results suggest that the model's behavior may remarkably differ depending on whether satisficing or hill-climbing serves as an algorithmic representation for decision-makers' search. ...
Apart from decision-makers' incomplete knowledge of the solution space, the model captures further aspects of bounded rationality. ...
arXiv:2104.14002v2
fatcat:skrtghlfp5fc5dcnswak7rn3j4
Narrow Framing Effects on Real Options: the Case of IT Application Portfolios
2010
International Conference on Information Systems
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Through this study, we try to capture one of the biases that can affect the real option value at exercise time in an IT application portfolio setting i.e. narrow framing. ...
On the one hand, it is argued that real option analysis captures and formalizes managers' intuition, thus creating a disciplined decision making process. ...
In other words, decision-makers perceptions become narrowly anchored on a reference point which they use to assess changes in wealth, rather than the final states of wealth (Kahneman and Tversky, 1984 ...
dblp:conf/icis/KhanKKZ10
fatcat:sydwx3tkibbtdcc2tcaxz5pwnu
Correcting for endogeneity in behavioral choice models with social influence variables
2011
Transportation Research Part A: Policy and Practice
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However, using such a social influence variable in a behavioral model causes complications because it is likely endogenous: unobserved factors that impact the peer group also influence the decision maker ...
In this paper we focus is on operational models that do not require explicit knowledge of the individual networks of decision makers. ...
Kenneth Train and Angelo Guevara have been very helpful regarding the issues and methods related to endogeneity in discrete choice models. ...
doi:10.1016/j.tra.2011.01.003
fatcat:gzvfkykiijhi7bg7dofqocwg4y
Exploring Different Order Decision Behaviors with Bullwhip Effect and Service Level Measures in Supply Chain System
2015
Discrete Dynamics in Nature and Society
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In the model, two adjustment parameters are adopted to describe individual differences in decision makers. ...
Since decision makers' bounded rationality would impact supply chain performance, it is necessary to explore how the individual decisions work in the supply chain. ...
Most of previous studies focus on the average response of the decision makers, which mean that the decision makers are homogeneous. ...
doi:10.1155/2015/657352
fatcat:55avkxxsbnb7bcg222pvod76yu
Using Intelligent Data Sources to Monitor Unusual Behaviors in Individual's Health Data
2013
2013 46th Hawaii International Conference on System Sciences
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Clinical data warehouses in this context facilitate the analysis, consolidation and access of the data obtained in the patient care process to improve the quality of decision making. ...
This paper proposes the design of a real time adaptive framework that covers the process of predicting, responding and monitoring unusual behaviors in patient data in a data warehouse environment. ...
Moreover, alerts could be also sent to the decision makers given the behaviors represent a risk for the entity to monitor. ...
doi:10.1109/hicss.2013.589
dblp:conf/hicss/MoraF13
fatcat:vuzbcerapvdtjjqeqhex4zp66m
Enterprise simulations
1999
Proceedings of the 31st conference on Winter simulation Simulation---a bridge to the future - WSC '99
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In this paper I offer my concepts and ideas of how we encapsulate this notion and what theoretical foundations can help us come to a common understanding and eventually help articulate a clear and agreed ...
They directly support the decision-maker who is the end user, resulting in decisions that are either easier to make or better informed (Mielke 1999 ). ...
One can also see that capturing the behavior of each entity in the system is a modeling problem in and of itself. ...
doi:10.1145/324898.325307
fatcat:rkzgask6s5bipis6zc3x46s6em
Agent-based modeling as organizational and public policy simulators
2002
Proceedings of the National Academy of Sciences of the United States of America
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quantitative support to decision-makers in the public and private sectors. ...
Not surprisingly, robustness, not efficiency nor optimality, is often the criteria the human decision-makers use in practice under such situations (7) . ...
doi:10.1073/pnas.072079399
pmid:12011397
pmcid:PMC128583
fatcat:u3jjielt3vczxauspyvbrmpuom
Attention and reference dependence
2018
Decision
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We present a model of reference dependence, which assumes that reference points affect choice by directing the decision maker's attention towards the particular goods in the reference bundle. ...
Nonetheless it is able to generate loss aversion and can explain a large number of behavioral anomalies related to reference dependence. ...
Equilibrium Choice Thus far we have studied attention-biased utility as it relates to solitary decisions, ones in which the decision maker is not allowed to change her mind after making her choice. ...
doi:10.1037/dec0000094
fatcat:hi2flzhpgjccjkuv3vgyv6eqwi
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