This book provides an introduction to the role of diversity in complex adaptive systems. A complex system--such as an economy or a tropical ecosystem--consists of interacting adaptive entities that produce dynamic patterns and structures. Diversity plays a different role in a complex system than it does in an equilibrium system, where it often merely produces variation around the mean for performance measures. In complex adaptive systems, diversity makes fundamental contributions to system performance. Scott Page gives a concise primer on how diversity happens, how it is maintained, and how it affects complex systems. He explains how diversity underpins system level robustness, allowing for multiple responses to external shocks and internal adaptations; how it provides the seeds for large events by creating outliers that fuel tipping points; and how it drives novelty and innovation. Page looks at the different kinds of diversity--variations within and across types, and distinct community compositions and interaction structures--and covers the evolution of diversity within complex systems and the factors that determine the amount of maintained diversity within a system.Provides a concise and accessible introduction Shows how diversity underpins robustness and fuels tipping points Covers all types of diversity The essential primer on diversity in complex adaptive systems
Cited By
- Wu C, Zhang R, Kotagiri R and Bouvry P (2022). Strategic Decisions: Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective, ACM Computing Surveys, 55:12, (1-30), Online publication date: 31-Dec-2024.
- Koçak Ö, Levinthal D and Puranam P (2023). The Dual Challenge of Search and Coordination for Organizational Adaptation, Organization Science, 34:2, (851-869), Online publication date: 1-Mar-2023.
- Tabilo Alvarez J, Ramírez-Correa P and Diallo S (2023). A Brief Review of Systems, Cybernetics, and Complexity, Complexity, 2023, Online publication date: 1-Jan-2023.
- Winkle K, Lagerstedt E, Torre I and Offenwanger A (2023). 15 Years of (Who)man Robot Interaction: Reviewing the H in Human-Robot Interaction, ACM Transactions on Human-Robot Interaction, 12:3, (1-28), Online publication date: 30-Sep-2023.
- Dron J (2022). Educational technology: what it is and how it works, AI & Society, 37:1, (155-166), Online publication date: 1-Mar-2022.
- Carrignon S, Coto-Sarmiento M and Daems D (2020). On complex archaeologies, Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems, 28:5, (323-328), Online publication date: 1-Oct-2020.
- Swanson E (2019). Technology as routine capability, MIS Quarterly, 43:3, (1007-1024), Online publication date: 1-Sep-2019.
- Furtado B, Fuentes M, Tessone C and Li Q (2019). Policy Modeling and Applications, Complexity, 2019, Online publication date: 1-Jan-2019.
- Neupane A and Goodrich M Learning swarm behaviors using grammatical evolution and behavior trees Proceedings of the 28th International Joint Conference on Artificial Intelligence, (513-520)
- Shore J, Baek J and Dellarocas C (2018). Network structure and patterns of information diversity on twitter, MIS Quarterly, 42:3, (849-872), Online publication date: 1-Sep-2018.
- Wang Y, Li X, Li J, Huang Z, Xiao R and Giannoccaro I (2018). Impact of Rapid Urbanization on Vulnerability of Land System from Complex Networks View, Complexity, 2018, Online publication date: 1-Jan-2018.
- Koester B, Fogel J, Murdock W, Grom G and McKay T Building a transcript of the future Proceedings of the Seventh International Learning Analytics & Knowledge Conference, (299-308)
- Montebelli A, Billing E, Lindblom J and Dahlberg G (2017). Reframing HRI education, Journal of Human-Robot Interaction, 6:2, (3-26), Online publication date: 1-Sep-2017.
- Ren R and Yan B Crowd Diversity and Performance in Wikipedia Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, (6342-6351)
- Zia A, Widener M, Metcalf S and Koliba C Modeling Voting Decisions in Governance Networks for Agents with Heterogeneous Mental Models and Alternate Network Structures Proceedings of the 2017 International Conference of The Computational Social Science Society of the Americas, (1-7)
- Jung J, Page S and Miller J Minority and Diversity Proceedings of the 2017 International Conference of The Computational Social Science Society of the Americas, (1-8)
- King J and Simon C (2015). Complications with Complexity in Requirements, ACM Transactions on Management Information Systems, 5:3, (1-12), Online publication date: 22-Jan-2015.
- Nickerson J, Malone T, Olson G and Crowston K Collective Problem Solving Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing, (135-138)
- Kingrani S, Levene M and Zhang D Diversity Analysis of Web Search Results Proceedings of the ACM Web Science Conference, (1-2)
- Dzikowski J and Hood C Modeling cognitive radio networks in NetLogo Proceedings of the Conference on Summer Computer Simulation, (1-11)
- Chauvel F, Song H and Fleurey F Diversity Proceedings of the 8th International Conference on Utility and Cloud Computing, (132-141)
- Qadir J, Ali A, Yau K, Sathiaseelan A and Crowcroft J (2015). Exploiting the Power of Multiplicity: A Holistic Survey of Network-Layer Multipath, IEEE Communications Surveys & Tutorials, 17:4, (2176-2213), Online publication date: 1-Oct-2015.
- Verstegen J, Karssenberg D, van der Hilst F and Faaij A (2014). Identifying a land use change cellular automaton by Bayesian data assimilation, Environmental Modelling & Software, 53:C, (121-136), Online publication date: 1-Mar-2014.
- Özmen Ö, Smith J and Yilmaz L An agent-based simulation study of a complex adaptive collaboration network Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World, (412-423)
- Behdani B Evaluation of paradigms for modeling supply chains as complex socio-technical systems Proceedings of the Winter Simulation Conference, (1-15)
Index Terms
- Diversity and Complexity
Recommendations
Diversity Guided Evolutionary Programming: A novel approach for continuous optimization
Avoiding premature convergence to local optima and rapid convergence towards global optima has been the major concern with evolutionary systems research. In order to avoid premature convergence, sufficient amount of genetic diversity within the evolving ...
Maintaining Healthy Population Diversity Using Adaptive Crossover, Mutation, and Selection
This paper presents ACROMUSE, a novel genetic algorithm (GA) which adapts crossover, mutation, and selection parameters. ACROMUSEs objective is to create and maintain a diverse population of highly-fit (healthy) individuals, capable of adapting quickly ...
A dual-population genetic algorithm for adaptive diversity control
A variety of previous works exist on maintaining population diversity of genetic algorithms (GAs). Dual-population GA (DPGA) is a type of multipopulation GA (MPGA) that uses an additional population as a reservoir of diversity. The main population is ...