The DOI matches its Crossref record.
Oscillations and Chaos in Ant Societies
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The basic McCulloch-Pitts design is common to many other living systems, including gene regulatory networks, immune networks, collective intelligence or some aneural systems, such as quorum-sensing decisions in microbial communities.
“Interestingly, the basic McCulloch–Pitts design is common to many other living systems, including gene regulatory networks [256–259], immune networks [260–262], collective intelligence [263–267] or some aneural systems, such as quorum-sensing decisions in microbial communities, where an explicit equivalence has been defined [268].”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [264]
Citations
Cites
Still being checked.
Cited by
Sorted by citations
Sumpter, D. J. T. (2010) · doi:10.1515/9781400837106 · Cited by 914
Self-organized structures in a superorganism: do ants “behave” like molecules?
Detrain, C., & Deneubourg, J. (2006) · Physics of Life Reviews · doi:10.1016/j.plrev.2006.07.001 · Cited by 277
Optimum design of fractional order PIλDμ controller for AVR system using chaotic ant swarm
Tang, Y., Cui, M., Hua, C., Li, L., & Yang, Y. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.01.007 · Cited by 193
The Nature of Self-Regulatory Fatigue and “Ego Depletion”
Evans, D. R., Boggero, I. A., & Segerstrom, S. C. (2015) · Personality and Social Psychology Review · doi:10.1177/1088868315597841 · Cited by 192
Symmetry Breaking in Escaping Ants
Altshuler, E., Ramos, O., Nuñez, Y. Y., Fernández, J., Batista-Leyva, A. J., & Noda, C. (2005) · The American Naturalist · doi:10.1086/498139 · Cited by 161
Parameters identification of chaotic systems via chaotic ant swarm
Li, L., Yang, Y., Peng, H., & Wang, X. (2005) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2005.04.110 · Cited by 132
Time-Ordered Networks Reveal Limitations to Information Flow in Ant Colonies
Blonder, B. W., & Dornhaus, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020298 · Cited by 114
Thermodynamics of Fractal Networks
Rinaldo, A., Maritan, A., Colaiori, F., Flammini, A., Rigon, R., Rodriguez-Iturbe, I., & Banavar, J. R. (1996) · Physical Review Letters · doi:10.1103/physrevlett.76.3364 · Cited by 107
Self-organization of foraging behaviour: From simplicity to complexity without goals
Provenza, F. D., Villalba, J. J., Cheney, C. D., & Werner, S. J. (1998) · Nutrition Research Reviews · doi:10.1079/nrr19980015 · Cited by 106
Chaos–order transition in foraging behavior of ants
Li, L., Peng, H., Kurths, J., Yang, Y., & Schellnhuber, H. J. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1407083111 · Cited by 90
CAS algorithm-based optimum design of PID controller in AVR system
Hui, Z., Li, L., Zhao, Y. H., Guo, Y., & Yang, Y. (2009) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2009.02.006 · Cited by 80
Synthetic collective intelligence
Solé, R. V., Amor, D. R., Duran‐Nebreda, S., Pueyo, N. C., Carbonell-Ballestero, M., & Montañez, R. (2016) · Biosystems · doi:10.1016/j.biosystems.2016.01.002 · Cited by 78
Self-citationMobile Cellular Automata Models of Ant Behavior: Movement Activity of Leptothorax allardycei
Cole, B. J., & Cheshire, D. (1996) · The American Naturalist · doi:10.1086/285908 · Cited by 70
Zhang, S., Zhang, J., Chen, L., & Liu, X. (2020) · Nonlinear Dynamics · doi:10.1007/s11071-019-05398-4 · Cited by 72
AN OPTIMIZATION METHOD INSPIRED BY "CHAOTIC" ANT BEHAVIOR
Li, L., Yang, Y., Peng, H., & Wang, X. (2006) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127406016100 · Cited by 69
Coupled oscillators and activity waves in ant colonies
Boi, S., Couzin, I. D., Buono, N. D., Franks, N. R., & Britton, N. F. (1999) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1999.0647 · Cited by 64
Health in Organization: Towards a Process‐Based View*
MacIntosh, R., MacLean, D., & Burns, H. (2007) · Journal of Management Studies · doi:10.1111/j.1467-6486.2007.00685.x · Cited by 69
Rhythmic and non-rhythmic attractors in asynchronous random Boolean networks
Paolo, E. A. D. (2001) · Biosystems · doi:10.1016/s0303-2647(01)00102-2 · Cited by 59
Ants and Agents: a Process Algebra Approach to Modelling Ant Colony Behaviour
Sumpter, D. J. T. (2001) · Bulletin of Mathematical Biology · doi:10.1006/bulm.2001.0252 · Cited by 54
Organisms, organizations and interactions: an information theory approach to biocultural evolution
Wallace, R., & Wallace, R. G. (1999) · Biosystems · doi:10.1016/s0303-2647(99)00023-4 · Cited by 51
A novel hybrid chaotic ant swarm algorithm for heat exchanger networks synthesis
Zhang, C., Cui, G., & Peng, F. (2016) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2016.05.103 · Cited by 46
Synthetic transitions: towards a new synthesis
Solé, R. V. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0438 · Cited by 45
Self-citationCollective behaviour of random-activated mobile cellular automata
Octavio Miramontes, A., Solé, R. V., & GOODWIN, B. C. (1993) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(93)90152-q · Cited by 46
Self-citationChaotic ant swarm approach for data clustering
Wan, M., Wang, C., Li, L., & Yang, Y. (2012) · Applied Soft Computing · doi:10.1016/j.asoc.2012.03.037 · Cited by 44
Model of Droplet Dynamics in the Argentine Ant Linepithema Humile(Mayr)
Guy Theraulaz, A. (2001) · Bulletin of Mathematical Biology · doi:10.1006/bulm.2001.0260 · Cited by 44
Information at the edge of chaos in fluid neural networks
Solé, R. (1995) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(94)00158-m · Cited by 40
Self-citationStatistical physics of liquid brains
Piñero, J., & Solé, R. (2019) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2018.0376 · Cited by 39
Self-citationIdentifying and Quantifying Landscape Patterns in Space and Time
Bolliger, J., Wagner, H. H., & Turner, M. G. (2007) · Landscape series · doi:10.1007/978-1-4020-4436-6_12 · Cited by 39
Parameter estimation of dynamical systems via a chaotic ant swarm
Peng, H., Li, L., Yang, Y., & Liu, F. (2010) · Physical Review E · doi:10.1103/physreve.81.016207 · Cited by 37
Information at the edge of chaos in fluid neural networks
Solé, R. V., & Octavio Miramontes, A. (1995) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(95)90075-6 · Cited by 37
Self-citationFundamental constraints to the logic of living systems
Solé, R., Kempes, C. P., Corominas-Murtra, B., De Domenico, M., Kolchinsky, A., Lachmann, M., Libby, E., Saavedra, S., Smith, E., & Wolpert, D. (2024) · Interface Focus · doi:10.1098/rsfs.2024.0010 · Cited by 34
Self-citationGaseous Templates in Ant Nests
COX, M. D., & Blanchard, G. B. (2000) · Journal of Theoretical Biology · doi:10.1006/jtbi.2000.2010 · Cited by 34
Self-synchronization and Task Fulfilment in Ant Colonies
Delgado, J., & Solé, R. V. (2000) · Journal of Theoretical Biology · doi:10.1006/jtbi.2000.2077 · Cited by 33
Self-citationHybrid chaotic ant swarm optimization
Li, Y., Wen, Q., Li, L., & Peng, H. (2009) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2009.02.020 · Cited by 31
Parameter identification of time-delay chaotic system using chaotic ant swarm
Tang, Y., Cui, M., Li, L., Peng, H., & Guan, X. (2008) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2008.09.044 · Cited by 28
Expanding the landscape of biological computation with synthetic multicellular consortia
Solé, R. V., & Macía, J. (2013) · Natural Computing · doi:10.1007/s11047-013-9380-y · Cited by 24
Self-citationNielsen, S. N., & Jørgensen, S. E. (2013) · Ecological Indicators · doi:10.1016/j.ecolind.2012.12.015 · Cited by 26
Universal computation in fluid neural networks
Sol�, R. V., & Delgado, J. (1996) · Complexity · doi:10.1002/(sici)1099-0526(199611/12)2:2 · Cited by 24
Self-citationOn the energetic cost of sociality
Fonck, C. (1996) · Physiology & Behavior · doi:10.1016/0031-9384(95)02028-4 · Cited by 24
Individual Basis for Collective Behaviour in the Termite,Cornitermes cumulans
Octavio Miramontes, A., & DeSouza, O. (2008) · Journal of Insect Science · doi:10.1673/031.008.2201 · Cited by 23
RNA viruses as complex adaptive systems
Elena, S. F., & Sanjuán, R. (2005) · Biosystems · doi:10.1016/j.biosystems.2005.02.001 · Cited by 20
A study of synthetic creativity: behavior modeling and simulation of an ant colony
Heck, P. S., & Ghosh, S. (2000) · IEEE Intelligent Systems and their Applications · doi:10.1109/5254.895863 · Cited by 20
CAS based clustering algorithm for Web users
Wan, M., Li, L., Xiao, J., Yang, Y., Wang, C., & Guo, X. (2010) · Nonlinear Dynamics · doi:10.1007/s11071-010-9653-2 · Cited by 19
Huang, J., Xu, L., Xing, C.-C., & Duan, Q. (2015) · Journal of Sensors · doi:10.1155/2015/192194 · Cited by 19
Activity cycles in ant colonies: worker interactions and decentralized control
Cole, B. J., & Trampus, F. I. (1999) · Birkhäuser Basel eBooks · doi:10.1007/978-3-0348-8739-7_16 · Cited by 19
The dynamics of ant colony optimization algorithms applied to binary chains
Iacopino, C., & Palmer, P. L. (2012) · Swarm Intelligence · doi:10.1007/s11721-012-0074-3 · Cited by 16
Recurrence analysis of ant activity patterns
Neves, F. M., Viana, R. L., & Pie, M. R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185968 · Cited by 14
Doering, G. N., Drawert, B., Lee, C., Pruitt, J. N., Petzold, L. R., & Dalnoki‐Veress, K. (2022) · Royal Society Open Science · doi:10.1098/rsos.211908 · Cited by 14
Cellular Automata Models of Complex Biochemical Systems
Kier, L. B., & Witten, T. M. (2007) · Springer eBooks · doi:10.1007/0-387-25871-x_6 · Cited by 14
Computation of multiple global optima through chaotic ant swarm
Li, L., Yang, Y., & Peng, H. (2007) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2007.09.024 · Cited by 14
The influence of brood type on activity cycles inLeptothorax allardycei (Hymenoptera: Faruicidae)
Cole, B. J., & Hoeg, L. (1996) · Journal of Insect Behavior · doi:10.1007/bf02213878 · Cited by 13
Decentralized coordination of autonomous swarms inspired by chaotic behavior of ants
Ge, F., Wei, Z., Lu, Y., Tian, Y., & Li, L. (2012) · Nonlinear Dynamics · doi:10.1007/s11071-012-0478-z · Cited by 13
A CNN model of oscillation and chaos in ant colonies: a case study
Nemes, L., & Roska, T. (1995) · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · doi:10.1109/81.473582 · Cited by 13
Cellular Automata Modeling of Complex Biochemical Systems
Kier, L. B., & Seybold, P. G. (2009) · Springer eBooks · doi:10.1007/978-0-387-30440-3_56 · Cited by 13
Octavio Miramontes, A., Solé, R. V., & Goodwin, B. C. (2001) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127401002912 · Cited by 12
Self-citationEnergetics of social phenomena: Physics applied to evolutionary biology
Jaffé, K., & Fonck, C. (1994) · Il Nuovo Cimento D · doi:10.1007/bf02451653 · Cited by 12
Chaotic ant swarm optimization with passive congregation
Li, Y., Wen, Q., & Zhang, B. (2011) · Nonlinear Dynamics · doi:10.1007/s11071-011-0209-x · Cited by 10
Parameters Optimization of Least Squares Support Vector Machines and Its Application
Xie, C., Shao, C., & Dandan, Z. (2011) · Journal of Computers · doi:10.4304/jcp.6.9.1935-1941 · Cited by 10
The Design and Role of Synthetic Creative Traits in Artificial Ant Colonies
Heck, P. S., & Ghosh, S. (2002) · Journal of Intelligent & Robotic Systems · doi:10.1023/a:1015552602374 · Cited by 10
Emergent Behavior in Insect Societies: Global Oscillations, Chaos and Computation
Solé, R. V., Octavio Miramontes, A., & Goodwin, B. C. (1993) · Springer series in synergetics · doi:10.1007/978-3-642-51030-4_7 · Cited by 10
Self-citationComplexity and behaviour in Leptothorax ants
Octavio Miramontes, A. (1992) · Open Research Online - ORO (The Open University) · doi:10.21954/ou.ro.0000fdb3 · Cited by 10
Evolution of Self-Organized Systems
Cole, B. J. (2002) · Biological Bulletin · doi:10.2307/1543476 · Cited by 9
Noise induced transitions in fluid neural networks
Delgado, J., & Solé, R. V. (1997) · Physics Letters A · doi:10.1016/s0375-9601(97)00184-9 · Cited by 9
Self-citationEvolution of self-organised division of labour driven by stigmergy in leaf-cutter ants
Pietro, V. D., Govoni, P., Chan, K. H., Oliveira, R. C., Wenseleers, T., & van den Berg, P. (2022) · Scientific Reports · doi:10.1038/s41598-022-26324-6 · Cited by 9
Mean-field theory of fluid neural networks
Delgado, J., & Solé, R. V. (1998) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.57.2204 · Cited by 7
Self-citationCriticality, adaptability and early-warning signals in time series in a discrete quasispecies model
Fossión, R., Hartasánchez, D. A., Reséndis-Antonio, O., & Frank, A. (2013) · Frontiers in Biology · doi:10.1007/s11515-013-1256-0 · Cited by 7
Three conceptions of nativism and the faculty of language
Bouchard, D. (2021) · Language Sciences · doi:10.1016/j.langsci.2021.101384 · Cited by 8
Foraging ants as liquid brains: Movement heterogeneity shapes collective efficiency
Fernández-López, P., Oró, D., Lloret‐Cabot, R., Genovart, M., Garriga, J., & Bartumeus, F. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2506930122 · Cited by 6
Measuring activity in ant colonies
Noda, C., Fernández, J., Pérez-Penichet, C., & Altshuler, E. (2006) · Review of Scientific Instruments · doi:10.1063/1.2400215 · Cited by 6
Extinction and Chaotic Patterns in Map Lattices Under Hostile Conditions
Méndez, V., Campos, D., Llopis, I., & Horsthemke, W. (2009) · Bulletin of Mathematical Biology · doi:10.1007/s11538-009-9453-3 · Cited by 6
Self-organized Criticality in Ant Brood Tending
O'Toole, D. V., Robinson, P. A., & Myerscough, M. R. (2003) · Journal of Theoretical Biology · doi:10.1006/jtbi.2003.3046 · Cited by 6
Multi-Objective Optimization Algorithm based on Biogeography with Chaos
Wang, X., & Xu, Z. (2014) · International Journal of Hybrid Information Technology · doi:10.14257/ijhit.2014.7.3.22 · Cited by 5
Distribuciones de probabilidad en las ciencias de la complejidad: una perspectiva contemporánea
Fontanelli, Ó., Corona, R. L. M., & Miramóntes, P. (2020) · INTERdisciplina · doi:10.22201/ceiich.24485705e.2020.22.76416 · Cited by 5
Modified chaotic ant swarm to function optimization
Li, Y., Wen, Q., & Li, L. (2009) · 中国邮电高校学报：英文版 · doi:10.1016/s1005-8885(08)60179-x · Cited by 5
Evolution: Self-organization Theory
Goodwin, B. C. (2001) · Elsevier eBooks · doi:10.1016/b0-08-043076-7/03081-3 · Cited by 5
Self-citationScaling of ant colony interaction networks
Toth, J. M., Fewell, J., & Waters, J. S. (2023) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2022.993627 · Cited by 6
Recruitment and entropy decrease during trail formation by foraging ants
Lourenço, G. M., Keesen, F., Fagundes, R., Luna, P., Silva, A. C., Ribeiro, S. P., & Arashiro, E. (2019) · Insectes Sociaux · doi:10.1007/s00040-019-00728-6 · Cited by 4
Ge, F., Wei, Z., Lu, Y., Li, L., & Yang, Y. (2011) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127411029963 · Cited by 4
Towards Improving Ant-Based Clustering - An Chaotic Ant Clustering Algorithm
Huang, X. F., Yang, Y., & Niu, X. (2007) · Computational Intelligence and Security · doi:10.1109/cis.workshops.2007.90 · Cited by 4
Zhu, H., Jia, Z., Peng, H., & Li, L. (2007) · International Conference on Natural Computation (ICNC) · doi:10.1109/icnc.2007.296 · Cited by 4
A study of synthetic creativity through behavior modeling and simulation of an ant colony
Heck, P. S., & Ghosh, S. (2002) · International Symposium on Autonomous Decentralized Systems · doi:10.1109/isads.2001.917444 · Cited by 3
A stochastic model of ant trail formation and maintenance in static and dynamic environments
Dodoková, K., Malíčková, M., Yates, C. A., Dussutour, A., & Boďová, K. (2024) · Swarm Intelligence · doi:10.1007/s11721-024-00237-8 · Cited by 2
Chaotic Ant Swarm Designed T-S Fuzzy System for Adaptive Control of Dynamical Systems
Li, L., Peng, H., & Yang, Y. (2008) · NeuroQuantology · doi:10.14704/nq.2008.6.4.193 · Cited by 2
Two-category Model of Task Allocation with Application to Ant Societies
Brandts, W. A. M. (2001) · Bulletin of Mathematical Biology · doi:10.1006/bulm.2001.0262 · Cited by 2
Towards Improving Ant-Based Clustering - An Chaotic Ant Clustering Algorithm
Huang, X., Yang, Y., & Niu, X. (2007) · International Conference on Computational Intelligence and Security Workshops (CISW) · doi:10.1109/cisw.2007.4425524 · Cited by 2
Delgado, J. (1997) · doi:10.5821/dissertation-2117-93973 · Cited by 2
High-dimensional optimization problems via disturbance chaotic ant swarm algorithm
Ge, F., Wei, Z., Tian, Y., & Lu, Y. (2011) · Journal of Computer Applications · doi:10.3724/sp.j.1087.2011.01084 · Cited by 1
MacIntosh, R., & MacLean, D. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781139644365.017 · Cited by 1
(2006) · Contemporary systems thinking · doi:10.1007/978-0-387-35941-0_3 · Cited by 1
KINETIC PHASE TRANSITION IN HONEYBEE FORAGING DYNAMICS: SYNERGY OF INDIVIDUAL AND COLLECTIVE
Михайлович, Т. В. (2020) · Advances in Complex Systems · doi:10.1142/s0219525920500198 · Cited by 1
Task Fulfilment and Temporal Patterns of Activity in Artificial Ant Colonies
Delgado, J., & Solé, R. V. (1999) · Lecture notes in computer science · doi:10.1007/3-540-48304-7_80 · Cited by 1
Self-citationCellular Automata Modeling of Complex Biochemical Systems
Kier, L. B., & Seybold, P. G. (2015) · Springer eBooks · doi:10.1007/978-3-642-27737-5_56-3 · Cited by 1
Evolution of division of labor in artificial societies
Lichocki, P. (2013) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · doi:10.5075/epfl-thesis-5687
THE SPATIOTEMPORAL PRISONER'S DILEMMA
NEMES, L., & Chua, L. O. (2000) · International Journal of Bifurcation and Chaos · doi:10.1142/s021812740000102x
Application of Chaos Ant Colony Neural Network in Slope Stability Analysis
Bi, Q., Zhu, H., & Tian, Y. (2010) · International Conference on Computational and Information Sciences · doi:10.1109/iccis.2010.162
Deutsch, A., & Dormann, S. (2017) · Modeling and simulation in science, engineering & technology · doi:10.1007/978-1-4899-7980-3_4
Miranda, M. (2012) · Americanae (AECID Library)
Improving Chaotic Ant Swarm Performance with Three Strategies
Li, Y., Li, L., & Peng, H. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38703-6_32
Metadata
- Authors
- Solé, R. V., Miramontes, O., & Goodwin, B. C.
- Affiliations
- The Open University (GB)
- ORCID
- Solé, Ricard V.
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 1993-04
- Volume
- 161
- Issue
- 3
- Pages
- 343-357
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W2054634198
- Cited by
- 98
- References
- 0
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2022: 2 · 2021: 1 · 2020: 3 · 2019: 2 · 2017: 2 · 2016: 3 · 2015: 4 · 2014: 2 · 2013: 5 · 2012: 5
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Theoretical Biology (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Nonlinear Dynamics and Pattern Formation
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Cellular Automata and Applications
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Keywords
- ant colonies, collective oscillations, emergent behavior, cellular automata, neural network model, nonlinear interactions, deterministic chaos, stochastic processes, Fourier spectrum
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
