A Statistical Physics Characterization of the Complex Systems Dynamics: Quantifying Complexity from Spatio-Temporal Interactions
Explore this paper's citation graph
Summary
This paper develops a new paradigm to study a collective group of N agents moving and interacting in a three-dimensional space and shows that the collective motion of the group of agents evolves to reach the most probable state with relatively lowest energy level and lowest missing information compared to other possible states.
- Type
- article
- Published
- 2016-06-14
- Cited by
- 35
- References
- 74
- Access
- Open access
- OpenAlex
- https://openalex.org/W27297496
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4627509
Keywords
Process (computing), Personality, Institution, Knowledge management, Set (abstract data type)
References
- Extracting the underlying effective free energy landscape from single-molecule time series--local equilibrium states and their network.
- Intelligent Data Engineering and Automated Learning — IDEAL 2002
- A new model for self-organized robotic clustering: Understanding boundary induced densities and cluster compactness
- When to do your own thing: Analysis of cost uncertainties in multi-robot task allocation at run-time
- Social Integration of Robots into Groups of Cockroaches to Control Self-Organized Choices
- External and internal complexity of complex adaptive systems
- Effective leadership and decision-making in animal groups on the move
- Potential energy landscape of the two-dimensional XY model: higher-index stationary points.
- New quantification of local transition heterogeneity of multiscale complex networks constructed from single-molecule time series.
- Validating the Knuth-Morris-Pratt Failure Function, Fast and Online
- Tracking Multiple High-Density Homogeneous Targets
- Multichannel quantum-defect theory for ion-atom interactions
- Lattice-gas model for collective biological motion.
- Construction of effective free energy landscape from single-molecule time series
- Efficient reconstruction of complex free energy landscapes by multiple walkers metadynamics.
- Theories of complexity
- A simulation study on the schooling mechanism in fish.
- Eliciting collective behaviors through automatically generated environments
- Energy landscape and dynamics of brain activity during human bistable perception
- The mathematical theory of communication
Cited by
- A travelling wave approach to a multi-agent system with a path-graph topology
- Multiple source seeking via distributed sample-variance control of swarm robots
- Fick’s Law Model Revisited: A New Approach to Modeling Multiple Sources Message Dissemination in Bacterial Communication Nanosystems
- Multi-fractal characterization of bacterial swimming dynamics: a case study on real and simulated Serratia marcescens
- Integrative biological simulation praxis: Considerations from physics, philosophy, and data/model curation practices
- Toward Enabling Automated Cognition and Decision-Making in Complex Cyber-Physical Systems
- Robust design from systems physics
- Assessing sustainability in North America’s ecosystems using criticality and information theory
- Quantifying emergence and self-organisation of Enterobacter cloacae microbial communities
- Multi-UAV Oxyrrhis Marina-Inspired Search and Dynamic Formation Control for Forest Firefighting
- Modelling and performance analysis of information dissemination in communication nanonetworks
- RTRobMultiAxisControl: A Framework for Real-Time Multiaxis and Multirobot Control
- Mechanism for Measuring System Complexity Applying Sensitivity Analysis
- Towards an information geometric characterization/classification of complex systems. I. Use of generalized entropies
- Proteins in aqueous solution under high frequency electromagnetic field: viscoelastic approximation of a complex system
- A Fixed-Mass multifractal approach for unweighted complex networks
- Complexity-based decoding of brain-skin relation in response to olfactory stimuli
- Cytomorphic Electronics With Memristors for Modeling Fundamental Genetic Circuits
- Characterizing complexity of non-invertible chaotic maps in the Shannon–Fisher information plane with ordinal patterns
- When the Value of Cooperating Scales: Collective Intelligence, Information Processing, and the Leadership Meta-Capability
Related papers
No related papers recorded.