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On decision support for deliberating with constraints in constrained optimization models

Steven O. Kimbrough, Ann Kuo, Hoong Chuin Lau
2010 Proceedings of the 12th annual conference comp on Genetic and evolutionary computation - GECCO '10  
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

Steven O. Kimbrough, Ann Kuo, Hoong Chuin Lau
2010 Proceedings of the 12th annual conference on Genetic and evolutionary computation - GECCO '10  
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

Andrea Martin, K. Venable
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

Jean-Christophe Giger, Grzegorz Pochwatko
2008 Polish Psychological Bulletin  
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

Panagiotis Panagiotopoulos, George Gionis, John Psarras, Dimitris Askounis
2010 Operational Research  
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

Jimmy Chan, Alessandro Lizzeri, Wing Suen, Leeat Yariv
2017 The Review of Economic Studies  
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

Ru Han, Shuyao Liang, Clément François, Samuel Aballea, Emilie Clay, Mondher Toumi
2021 Journal of Market Access & Health Policy  
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

Peter McBurney, David Hitchcock, Simon Parsons
2006 International Journal of Intelligent Systems  
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]

Marcel Binz, Dominik Endres
2019 arXiv   pre-print
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

Tutui Viorel
2015 Argumentum: Journal of the Seminar of Discursive Logic, Argumentation Theory and Rhetoric  
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

Fiammetta M. Bozzani, Tom Sumner, Don Mudzengi, Gabriela B. Gomez, Richard White, Anna Vassall
2020 Value in Health  
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]

Yingmeng Xiang, Xiaohu Zhang, Di Shi, Yanming Jin, Zhiwei Wang, Lingfeng Wang
2018 arXiv   pre-print
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

Anik R. Patel, Kelly V. Ruggles, Kimberly Nucifora, Qinlian Zhou, Stephen Schensul, Jean Schensul, Kendall Bryant, R. Scott Braithwaite
2018 MDM Policy & Practice  
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  ... 
doi:10.1177/2381468318803940 pmid:30349875 pmcid:PMC6194934 fatcat:jsvucp3d4jdv5jdim7k3znn5xa

Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms

Frits De Nijs, Erwin Walraven, Mathijs De Weerdt, Matthijs Spaan
2021 The Journal of Artificial Intelligence Research  
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

Christopher J. Dunn, Matthew P. Thompson, David E. Calkin
2017 Forest Ecology and Management  
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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