paper:deisboeck-collective-behavior-in-cancer-cell-popul-2009Collective behavior in cancer cell populations
Related work— refs + corpus + external arXiv
Cited / in-corpus / arXiv badges show which signals surfaced each row. Multi-source rows weighted higher.
- Swarms, Phase Transitions, and Collective IntelligenceLANL and Santa Fe Institute) Mark M. Millonas (Center for Nonlinear Studies and Theoretical Division2008≈ 75%
- Collective Creativity: Where we are and where we might goJeffrey V. Nickerson, Yasuaki Sakamoto Lixiu Yu2012≈ 73%
- Collective intelligence: aggregation of information from neighbors in a guessing gameToni P\'erez and Jordi Zamora and V\'ictor M. Egu\'iluz2016≈ 73%
- Collective behavior from surprise minimizationBeren Millidge, Lancelot da Costa, Richard Mann, Karl Friston, Iain Couzin Conor Heins2024≈ 73%
- Collective Intelligence in Citizen Science -- A Study of Performers and TalkersElena Simperl, Markus Luczak-Roesch, Max Van Kleek, Nigel Shadbolt Ramine Tinati2014≈ 72%
- ≈ 72%
- Collective intelligence: A unifying concept for integrating biology across scales and substratesin corpus2024≈ 72%
- Universal principles of cell population growth follow from local contact inhibitionSadegh Marzban, Mehdi Damaghi, Arne Traulsen, Alexander R. A. Anderson, Jeffrey West, and Philipp M. Altrock Gregory J. Kimmel2026≈ 71%
- Collective Intelligence Heuristic: An Experimental EvidenceEnrico Imbimbo, Franco Bagnoli, Andrea Guazzini Federica Stefanelli2016≈ 71%
- A Computational Model of Crowds for Collective IntelligencePiper Jackson, and Thai Nguyen John Prpic2014≈ 70%
- Artificial Collective Intelligence Engineering: a Survey of Concepts and PerspectivesRoberto Casadei2023≈ 70%
- Re-differentiation as collective intelligence: The Ktunaxa language online communityChristopher Horsethief2012≈ 70%
- Collective intelligence and the blockchain: Technology, communities and social experimentsAndrea Baronchelli2021≈ 70%
- Computational Chemotaxis in Ants and Bacteria over Dynamic EnvironmentsC. M. Fernandes, A. C. Rosa, A. Abraham Vitorino Ramos2016≈ 70%
- Visualizing Collective Discursive User Interactions in Online Life Science CommunitiesAlexander Gross, Stephanie Bond Dhiraj Murthy2012≈ 69%
- ≈ 69%
- Endless forms most beautiful 2.0: teleonomy and the bioengineering of chimaeric and synthetic organismsin corpus2023≈ 67%
- Darwin's agential materials: evolutionary implications of multiscale competency in developmental biologyin corpus2023≈ 66%
- ≈ 65%
- ≈ 64%
- Cognitive glues are shared models of relative scarcities: the economics of collective intelligencein corpus2026≈ 64%
- ≈ 63%
- ≈ 62%
- ≈ 62%
- cimcWhitepaperin corpus≈ 62%
- ≈ 62%
- The computational boundary of a 'self': developmental bioelectricity drives multicellularity and scale-free cognitionin corpus2019≈ 61%
- The biogenic approach to cognitionin corpus2005≈ 61%
- ≈ 61%
- ≈ 61%
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- Design for an Individual: Connectionist Approaches to the Evolutionary Transitions in Individuality
Evolutionary transitions in individuality (ETIs) require interaction structures among lower-level units that compute non-linearly separable functions — the same class of functions that single-layer Pe
- Topological constraints on self-organisation in locally interacting systems
Topology of local interactions is the decisive factor determining whether a system can sustain long-range order, and decoder-only transformer architectures are provably unable to maintain such order f
- Collective intelligence: A unifying concept for integrating biology across scales and substrates
Collective intelligence, understood as William James' capacity to reach the same goal by different means, operates not only in beehives and ant colonies but as a scale-free organizing principle across
- The computational boundary of a 'self': developmental bioelectricity drives multicellularity and scale-free cognition
Scale-Free Cognition, the framework introduced here, proposes that any coherent Self is demarcated by a 'cognitive light cone'—a spatio-temporal boundary of events a system can measure, model, and att
- Topological constraints on self-organization in locally interacting systems
Topological constraints on interaction graphs determine whether a locally interacting system can sustain long-range ordered phases, and therefore whether it can self-organize toward a system-level goa