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On decision support for deliberating with constraints in constrained optimization models
2010
Proceedings of the 12th annual conference comp on Genetic and evolutionary computation - GECCO '10
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The DDSS also provides users with graphical tools that support postsolution deliberation for constrained optimization models. ...
This paper introduces the Deliberation Decision Support System (DDSS). The DDSS obtains heuristically (using a genetic algorithm) solutions of interest for constrained optimization models. ...
INTRODUCTION Constraints in a COModel (constrained optimization model) serve to partition solutions for the model into two categories: feasible (satisfying the constraints) and infeasible (violating one ...
doi:10.1145/1830761.1830811
dblp:conf/gecco/KimbroughKL10a
fatcat:j4fwnmotnnbodcldqy53yrlvo4
Effective heuristic methods for finding non-optimal solutions of interest in constrained optimization models
2010
Proceedings of the 12th annual conference on Genetic and evolutionary computation - GECCO '10
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Post-solution analysis of a constrained optimization model occurs after the model has been solved and a good or optimal solution for it has been found. ...
This paper introduces the SoI problem, that of finding nonoptimal solutions of interest for constrained optimization models. ...
INTRODUCTION Our subject lies in the area of constrained optimization. ...
doi:10.1145/1830483.1830538
dblp:conf/gecco/KimbroughKL10
fatcat:ijudur44qrgjflj7s6z7n4kpre
Decision Making Over Combinatorially-Structured Domains
2018
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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We assume the user compactly expresses her preferences via soft constraints. We consider a sequential procedure that uses Decision Field Theory to model the decision making on each variable. ...
In the future, we plan to compare our results non-sequential approach and with behavioral data to asses our approach both in terms of modeling human decision making over complex domains, and adopting DFT ...
We use soft constraints to support a deliberation process performed through decision field theory and we consider a sequential approach, where deliberation is applied to each variable. ...
doi:10.1609/aaai.v32i1.12168
fatcat:2fq4maixmrawrbe3qowiu5ys4u
Sometimes it is not so bad to decide in a hurry: Influence of different levels of temporal opportunity on the elaboration of purchasing intention
2008
Polish Psychological Bulletin
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Results show that in 5 second limit and unlimited time conditions, they rely more on an attitude-based decision strategy and chose the less optimal store. ...
Participants made their choices under time pressure (either 5, 9 or 15 seconds) or were given unlimited time to deliberate. ...
In line with Wilson et al. (1989) and Dijksterhuis (2004) , the present results also support the idea that deliberation can be maladaptive in making choice. ...
doi:10.2478/v10059-008-0026-3
fatcat:hvfbjo3p4faijfmy7rhhtfya4y
Supporting public decision making in policy deliberations: an ontological approach
2010
Operational Research
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Supporting public decision making in policy deliberations has been a key objective of eParticipation which is an emerging area of eGovernment. ...
An innovative approach towards this objective is exploiting the potentials of semantic web technologies centred on conceptual knowledge models in the form of ontologies. ...
Acknowledgements The authors would like to acknowledge the two anonymous reviewers of this paper for their ...
doi:10.1007/s12351-010-0081-3
fatcat:dfq6byo4vza6lfbduurjlzveti
Deliberating Collective Decisions
2017
The Review of Economic Studies
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Second, more diverse preferences, more patient members, or more unanimous decision voting rules lead to lengthier deliberation and more accurate decisions. ...
Three main insights emerge from our analysis and match an array of stylized facts on committee decision making. ...
Because (2) and (3) are necessary for constrained maximization, this unique cutoff pair must be optimal in the constraint set. 10
Equilibrium Analysis Given decision rule k, define the lower pivotal ...
doi:10.1093/restud/rdx028
fatcat:v5xefu6zuncipi2jn3zwr3wnfy
Allocating treatment resources for hepatitis C in the UK: a constrained optimization modelling approach
2021
Journal of Market Access & Health Policy
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Methods: A constrained optimization modelling of resource allocation for the treatment of CHC was developed in Excel from the perspective of the UK National Health System over a lifetime horizon. ...
Conclusion: The current allocation of treatment budget for CHC is not optimal in the UK. ...
Constrained optimization modeling is a flexible tool to solve different decision problems based on a simple yet accurate framework. ...
doi:10.1080/20016689.2021.1887664
pmid:33828822
pmcid:PMC8008927
fatcat:t4s6gox7yrc5pioes7oyrotqvi
The eightfold way of deliberation dialogue
2006
International Journal of Intelligent Systems
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We further fully articulate the locutions and rules of a formal dialogue game for this model, so as to specify a protocol for deliberation dialogues. ...
To assess our protocol we consider it against various records of human deliberations, against normative principles for the conduct of human dialogues, and with respect to the outcomes produced by dialogues ...
If only two participants remain in a dialogue and one of these utters this locution, the dialogue terminates. Commitment Store Update: No effects. ...
doi:10.1002/int.20191
fatcat:4hqftexld5dzdezbw2wxrvplpy
Where Do Human Heuristics Come From?
[article]
2019
arXiv
pre-print
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The idea is formalized through combining a recently proposed meta-learning model based on Recurrent Neural Networks with a resource-bounded objective. ...
Human decision-making deviates from the optimal solution, that maximizes cumulative rewards, in many situations. ...
Acknowledgments This work was supported by the DFG GRK-RTG 2271 'Breaking Expectations'. ...
arXiv:1902.07580v2
fatcat:p4gwzfcgnjcgvc7ilhvfkvvkwe
Theoretical Models of Deliberative Democracy: A Critical Analysis
2015
Argumentum: Journal of the Seminar of Discursive Logic, Argumentation Theory and Rhetoric
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After presenting these models I will provide a critical analysis of each one of them with the purpose of revealing their virtues and limits. ...
In the concluding section, I will argue that any theoretical model is confronted with the "the paradox of democratic deliberatio [...] ...
And the solution they support has to do with the provisional nature of the results of deliberation. ...
doaj:62d78a133d5941c7a425bfbaac0da082
fatcat:xi6ipvg2jjc5xe5detdftlthlm
Informing Balanced Investment in Services and Health Systems: A Case Study of Priority Setting for Tuberculosis Interventions in South Africa
2020
Value in Health
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We then present an empirical approach for incorporating nonfinancial constraints in cost-effectiveness models of health benefit packages for the health sector. ...
We find substantial differences in incremental cost-effectiveness ratios across scenarios, leading to variations in the decision rules for prioritizing interventions. ...
Acknowledgments: The authors would like to thank the National Department of Health and the National TB Programme in South Africa for their time and advice. ...
doi:10.1016/j.jval.2020.05.021
pmid:33127017
pmcid:PMC7640941
fatcat:qninl2pehffg7dm52co4kdpzxi
A Robust Power Grid Defense Model Considering Load Demand and Wind Generation Uncertainties
[article]
2018
arXiv
pre-print
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The Column-and-Constraint Generation (C&CG) algorithm is adopted for solving the proposed model by decomposing the proposed model into a master problem and a sub-problem. ...
It is a major task to develop effective strategies for defending the power system against deliberate attacks. ...
Constraint (7) indicate the limitation of the attacker's capacity. Constraints (8)- (13) give the powerdispatch strategy based on the optimal power flow (OPF) analysis. ...
arXiv:1802.08720v1
fatcat:shgz6crvvzbdvavcsp5nnk64ze
Evaluating Alternative Designs of a Multilevel HIV Intervention in Maharashtra, India: The Impact of Stakeholder Constraints
2018
MDM Policy & Practice
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Our objective was to identify the optimal combination of interventions for alcohol-using HIV+ individuals on antiretroviral drug therapy in Maharashtra, India, explicitly considering stakeholder constraints ...
With no constraints, the combination including long individual alcohol counseling, text-message adherence support, long group counseling for sex-risk, and long individual counseling for sex-risk (annual ...
Supplemental Material The online supplementary appendix for this article is available on the Medical Decision Making Policy & Practice website at http://journals.sagepub.com/home/mpp. ...
doi:10.1177/2381468318803940
pmid:30349875
pmcid:PMC6194934
fatcat:jsvucp3d4jdv5jdim7k3znn5xa
Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms
2021
The Journal of Artificial Intelligence Research
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Although several models and algorithms for such constrained multiagent planning problems under uncertainty have been proposed in the literature, it remains unclear when which algorithm can be applied. ...
In this survey we conceptualize these domains and establish a generic problem class based on Markov decision processes. ...
This work is funded by distribution system operator Alliander, and by the Netherlands Organisation for Scientific Research (NWO), as part of the Uncertainty Reduction in Smart Energy Systems program. ...
doi:10.1613/jair.1.12233
fatcat:dxezhz6avvbj3jahq3tce75i3e
A framework for developing safe and effective large-fire response in a new fire management paradigm
2017
Forest Ecology and Management
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We follow with a proposed framework for expanding current large fire decision support systems, and conclude by briefly highlighting critical research needs and organizational changes necessary to create ...
In this review, we describe limitations in existing operational research models from the perspective of large fire management decisions. ...
We refer to these influences as constraints, consistent with OR model formulations, to represent factors that circumscribe the models decision and optimization environment. ...
doi:10.1016/j.foreco.2017.08.039
fatcat:v6htlbecdfab5enjra3kq6s2by
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