Model of human collective decision-making in complex environments
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The NK model is suitable for depicting interdependent variables in managerial problems.
“The solution space is adapted from the NK model [24] which is deemed suitable because it depicts the interdependent variables in managerial problems [5, 9, 15, 17].”
From Closed-mindedness and insulation in groupthink: their effects and the devil’s advocacy as a preventive measure (2021) · cites this paper as [9]
The proposed model is based on the abstraction of group decision making as a search over the NK landscape, which is suitable because it captures the interdependent variables nature of managerial decision problems and is relevant to decision making in realistic situations.
“The proposed model is based on the abstraction of group decision making as a search over the NK landscape which is suitable because it captures the interdependent variables nature of managerial decision problems [5, 9, 15, 17] and relevant to decision making in the realistic situations [5, 17].”
From Closed-mindedness and insulation in groupthink: their effects and the devil’s advocacy as a preventive measure (2021) · cites this paper as [9]
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Cites
Kennedy, J., & Eberhart, R. (2002) · Proceedings of ICNN'95 - International Conference on Neural Networks · doi:10.1109/icnn.1995.488968 · Cited by 58,192 · see citing works
DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review · doi:10.2307/2095101 · Cited by 38,435 · see citing works
Ant system: optimization by a colony of cooperating agents
Dorigo, M., Maniezzo, V., & Colorni, A. (1996) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/3477.484436 · Cited by 12,101 · see citing works
Exact stochastic simulation of coupled chemical reactions
Gillespie, D. T. (1977) · The Journal of Physical Chemistry · doi:10.1021/j100540a008 · Cited by 9,969 · see citing works
Karaboğa, D., & Akay, B. (2007) · Journal of Global Optimization · doi:10.1007/s10898-007-9149-x · Cited by 7,691 · see citing works
Novel Type of Phase Transition in a System of Self-Driven Particles
Vicsek, T., Czirók, A., Ben‐Jacob, E., Cohen, I., & Shochet, O. (1995) · Physical Review Letters · doi:10.1103/physrevlett.75.1226 · Cited by 7,395 · see citing works
Gillespie, D. T. (1976) · Journal of Computational Physics · doi:10.1016/0021-9991(76)90041-3 · Cited by 6,029 · see citing works
Statistical physics of social dynamics
Castellano, C., Fortunato, S., & Loreto, V. (2009) · Reviews of Modern Physics · doi:10.1103/revmodphys.81.591 · Cited by 4,119 · see citing works
Beitrag zur Theorie des Ferromagnetismus
Ising, E. (1925) · Zeitschrift für Physik · doi:10.1007/bf02980577 · Cited by 3,871 · see citing works
Time-Dependent Statistics of the Ising Model
Glauber, R. J. (1963) · Journal of Mathematical Physics · doi:10.1063/1.1703954 · Cited by 3,661 · see citing works
SOMETHING OLD, SOMETHING NEW: A LONGITUDINAL STUDY OF SEARCH BEHAVIOR AND NEW PRODUCT INTRODUCTION.
Katila, R., & Ahuja, G. (2002) · Academy of Management Journal · doi:10.2307/3069433 · Cited by 3,640 · see citing works
Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014) · Journal of Complex Networks · doi:10.1093/comnet/cnu016 · Cited by 3,235 · see citing works
The structure and dynamics of multilayer networks
Boccaletti, S., Bianconi, G., Criado, R., del Genio, C. I., Gómez-Gardeñes, J., Romance, M., Sendiña-Nadal, I., Wang, Z., & Zanin, M. (2014) · Physics Reports · doi:10.1016/j.physrep.2014.07.001 · Cited by 3,125 · see citing works
Vicsek, T., & Zafeiris, A. (2012) · Physics Reports · doi:10.1016/j.physrep.2012.03.004 · Cited by 2,923 · see citing works
Effective leadership and decision-making in animal groups on the move
Couzin, I. D., Krause, J., Franks, N. R., & Levin, S. A. (2005) · Nature · doi:10.1038/nature03236 · Cited by 2,753 · see citing works
A simple model of global cascades on random networks
Watts, D. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.082090499 · Cited by 2,673 · see citing works
Adaptation on Rugged Landscapes
Levinthal, D. A. (1997) · Management Science · doi:10.1287/mnsc.43.7.934 · Cited by 2,254 · see citing works
Ant colonies for the travelling salesman problem
Dorigo, M., & Gambardella, L. M. (1997) · Biosystems · doi:10.1016/s0303-2647(97)01708-5 · Cited by 2,030 · see citing works
Swarm robotics: a review from the swarm engineering perspective
Brambilla, M., Ferrante, E., Birattari, M., & Dorigo, M. (2013) · Swarm Intelligence · doi:10.1007/s11721-012-0075-2 · Cited by 1,791 · see citing works
Towards a general theory of adaptive walks on rugged landscapes
Kauffman, S. A., & Levin, S. A. (1987) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(87)80029-2 · Cited by 1,421 · see citing works
Programmable self-assembly in a thousand-robot swarm
Rubenstein, M., Cornejo, A., & Nagpal, R. (2014) · Science · doi:10.1126/science.1254295 · Cited by 1,266 · see citing works
Inspiration for optimization from social insect behaviour
Bonabeau, E., Dorigo, M., & Theraulaz, G. (2000) · Nature · doi:10.1038/35017500 · Cited by 915 · see citing works
Collective cognition in animal groups
Couzin, I. D. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.10.002 · Cited by 906 · see citing works
Optimal dynamical range of excitable networks at criticality
Kinouchi, O., & Copelli, M. (2006) · Nature Physics · doi:10.1038/nphys289 · Cited by 831 · see citing works
History of the Lenz-Ising Model
Brush, S. G. (1967) · Reviews of Modern Physics · doi:10.1103/revmodphys.39.883 · Cited by 739 · see citing works
Are Biological Systems Poised at Criticality?
Mora, T., & Bialek, W. (2011) · Journal of Statistical Physics · doi:10.1007/s10955-011-0229-4 · Cited by 734 · see citing works
The NK model of rugged fitness landscapes and its application to maturation of the immune response
Kauffman, S. A., & Weinberger, E. D. (1989) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(89)80019-0 · Cited by 674 · see citing works
The biological principles of swarm intelligence
Garnier, S., Gautrais, J., & Théraulaz, G. (2007) · Swarm Intelligence · doi:10.1007/s11721-007-0004-y · Cited by 600 · see citing works
Designing Collective Behavior in a Termite-Inspired Robot Construction Team
Werfel, J., Petersen, K., & Nagpal, R. (2014) · Science · doi:10.1126/science.1245842 · Cited by 599 · see citing works
Group decision-making in animals
Conradt, L., & Roper, T. J. (2003) · Nature · doi:10.1038/nature01294 · Cited by 529 · see citing works
Interdependent network reciprocity in evolutionary games
Wang, Z., Szolnoki, A., & Perc, M. (2013) · Scientific Reports · doi:10.1038/srep01183 · Cited by 489 · see citing works
Quorum decision-making facilitates information transfer in fish shoals
Ward, A. J. W., Sumpter, D. J. T., Couzin, I. D., Hart, P. J. B., & Krause, J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0710344105 · Cited by 474 · see citing works
Laughlin, P. R., Hatch, E. C., Silver, J. S., & Boh, L. (2006) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.90.4.644 · Cited by 390 · see citing works
Fast and accurate decisions through collective vigilance in fish shoals
Ward, A. J. W., Herbert‐Read, J. E., Sumpter, D. J. T., & Krause, J. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007102108 · Cited by 375 · see citing works
Quorum responses and consensus decision making
Sumpter, D. J. T., & Pratt, S. C. (2008) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0204 · Cited by 354 · see citing works
Ant-like task allocation and recruitment in cooperative robots
Krieger, M. J. B., Billeter, J.-B., & Keller, L. (2000) · Nature · doi:10.1038/35023164 · Cited by 352 · see citing works
Optimal interdependence between networks for the evolution of cooperation
Wang, Z., Szolnoki, A., & Perc, M. (2013) · Scientific Reports · doi:10.1038/srep02470 · Cited by 312 · see citing works
Physics and financial economics (1776–2014): puzzles, Ising and agent-based models
Sornette, D. (2014) · Reports on Progress in Physics · doi:10.1088/0034-4885/77/6/062001 · Cited by 275 · see citing works
Physics and social science — The approach of synergetics
Weidlich, W. (1991) · Physics Reports · doi:10.1016/0370-1573(91)90024-g · Cited by 274 · see citing works
Schooling as a strategy for taxis in a noisy environment
Grünbaum, D. (1998) · Evolutionary Ecology · doi:10.1023/a:1006574607845 · Cited by 248 · see citing works
Rational group decision making: A random field Ising model at T = 0
Galam, S. (1997) · Physica A Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(96)00456-6 · Cited by 243 · see citing works
THE STATISTICAL DESCRIPTION OF POLARIZATION PHENOMENA IN SOCIETY†
Weidlich, W. (1971) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/j.2044-8317.1971.tb00470.x · Cited by 217 · see citing works
Towards real-world complexity: an introduction to multiplex networks
Lee, K.-M., Min, B., & Goh, K.-I. (2015) · The European Physical Journal B · doi:10.1140/epjb/e2015-50742-1 · Cited by 192 · see citing works
Search on Rugged Landscapes: An Experimental Study
Billinger, S., Stieglitz, N., & Schumacher, T. R. (2013) · Organization Science · doi:10.1287/orsc.2013.0829 · Cited by 179 · see citing works
A common rule for decision making in animal collectives across species
Arganda, S., Pérez‐Escudero, A., & de Polavieja, G. G. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1210664109 · Cited by 166 · see citing works
Information Flow in a Kinetic Ising Model Peaks in the Disordered Phase
Barnett, L., Lizier, J. T., Harré, M., et al. (2013) · Physical Review Letters · doi:10.1103/physrevlett.111.177203 · Cited by 124 · see citing works
Collective Animal Behavior from Bayesian Estimation and Probability Matching
Pérez‐Escudero, A., & de Polavieja, G. G. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002282 · Cited by 104 · see citing works
Laughlin, P. R., Zander, M. L., Knievel, E. M., & Tan, T. K. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.85.4.684 · Cited by 95 · see citing works
Models in animal collective decision-making: information uncertainty and conflicting preferences
Conradt, L. (2011) · Interface Focus · doi:10.1098/rsfs.2011.0090 · Cited by 90 · see citing works
Complexity and synchronization
Turalska, M., Luković, M., West, B. J., et al. (2009) · Physical Review E · doi:10.1103/physreve.80.021110 · Cited by 80 · see citing works
Criticality and Transmission of Information in a Swarm of Cooperative Units
Vanni, F., Luković, M., & Grigolini, P. (2011) · Physical Review Letters · doi:10.1103/physrevlett.107.078103 · Cited by 74 · see citing works
Navigation in human crowds; testing the many-wrongs principle
Faria, J. J., Codling, E. A., Dyer, J. R. G., Trillmich, F., & Krause, J. (2009) · Animal Behaviour · doi:10.1016/j.anbehav.2009.05.019 · Cited by 57 · see citing works
Concurrent Engineering and Design Oscillations in Complex Engineering Projects
Loch, C. H., Mihm, J., & Huchzermeier, A. (2003) · Concurrent Engineering · doi:10.1177/106329303038030 · Cited by 45 · see citing works
Clément, R. J. G., Krause, S., von Engelhardt, N., Faria, J. J., Krause, J., & Kurvers, R. H. J. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077943 · Cited by 44 · see citing works
Jigsaw percolation: What social networks can collaboratively solve a puzzle?
Brummitt, C. D., Chatterjee, S., Dey, P. S., & Sivakoff, D. (2015) · The Annals of Applied Probability · doi:10.1214/14-aap1041 · Cited by 22 · see citing works
Simple model for multiple-choice collective decision making
Lee, C. H., & Lucas, A. (2014) · Physical Review E · doi:10.1103/physreve.90.052804 · Cited by 18 · see citing works
Two-dimensional Ising transition through a technique from two-state opinion-dynamics models
Galam, S., & Martins, A. C. R. (2015) · Physical Review E · doi:10.1103/physreve.91.012108 · Cited by 16 · see citing works
Turalska, M., & West, B. J. (2014) · Physical Review E · doi:10.1103/physreve.90.052815 · Cited by 6 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- [25]Easley D, Kleinberg J, Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge University Press, (2010)
- [53]De Domenico M., Sol´ e-Ribalta A., Cozzo E., Kivel¨ a M., Moreno Y., Porter M.A., G´ omez S., Arenas A., Mathematical Formulation of Multilayer Networks, Phys. Rev. X 3 , 041022, doi:http://dx.doi.org/10.1103/PhysRevX.3.041022, 2013 · DOI · Paper page
- [43]Schweitzer F., Brownian Agents and Active Particles, Collective Dynamics in the Natural and Social Sciences, Springer Series in Synergetics - Springer Complexity, Springer, Berlin-Heidelberg-New York, isbn: 9783540738442, 2007.
- [56]Wang, Z., Wang, L., Szolnoki, A., Perc, M. Evolutionary games on multilayer networks: a colloquium, European Physical Journal B, 88 (5), 1-15, DOI: 10.1140/epjb/e2015-60270-7, 2015. · DOI
Cited by
Sorted by citations
Akhmad, M., Chang, S., & Deguchi, H. (2021) · Journal of Computational Social Science · doi:10.1007/s42001-020-00083-8 · Cited by 18 · see citing works
“The proposed model is based on the abstraction of group decision making as a search over the NK landscape which is suitable because it captures the interdependent variables nature of managerial decision problems [5, 9, 15, 17] and relevant to decision making in the realistic situations [5, 17].”
BackgroundMethod
- Authors
- Carbone, G., & Giannoccaro, I.
- Affiliations
- University of Bari Aldo Moro (IT)
- Polytechnic University of Bari (IT)
- Corresponding author
- Carbone, Giuseppe
- Venue
- The European Physical Journal B
- Published
- 2015-12
- Volume
- 88
- Issue
- 12
- ISSN
- 1434-6028 (ISSN-L)
- 1434-6036
- OpenAlex
- W3105287761
- Cited by
- 35
- References
- 58
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 1 · 2023: 7 · 2022: 2 · 2021: 3 · 2020: 1 · 2019: 5 · 2018: 4 · 2017: 4 · 2016: 2
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- The European Physical Journal B (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Springer Link (Chiba Institute of Technology) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
- Keywords
- group decision making, continuous-time Markov chains, fitness landscape, opinion dynamics, consensus formation, self-interest, group intelligence, complex optimization problems, critical threshold
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