Many living and non-living complex systems can be modeled and understood as collective systems made of heterogeneous components that self-organize and generate nontrivial morphological structures and behaviors. This chapter presents a brief overview of our recent effort that investigated various aspects of such morphogenetic collective systems. We first propose a theoretical classification sche...

The self- and collective-diffusion behaviors of adsorbed methane, helium, and isobutane in zeolite frameworks LTA, MFI, AFI, and SAS were examined at various concentrations using a range of molecular simulation techniques including Molecular Dynamics (MD), Monte Carlo (MC), Bennett-Chandler (BC), and kinetic Monte Carlo (kMC). This paper has three main results. (1) A novel model for the process...

The web can be regarded as an ecosystem of digital resources connected and shaped by collective successive behaviors of users. Knowing how people allocate limited attention on different resources is of great importance. To answer this, we embed the most popular Chinese web sites into a high dimensional Euclidean space based on the open flow network model of a large number of Chinese users' coll...

A simple model is proposed that describes the various morphodynamic principles of migrating cells from polar to amoeboidal motions. The model equation is derived using competing internal cellular compass variables and symmetries of the system. Fixed points for the N = 2 system are closely investigated to clarify how the competition among polaritors explains the observed morphodynamics. Response...

The spontaneous emergence of pattern formation is ubiquitous in nature, often arising as a collective phenomenon from interactions among a large number of individual constituents or sub-systems. Understanding, and controlling, collective behavior is dependent on determining the low-level dynamical principles from which spatial and temporal patterns emerge; a key question is whether different gr...

Crowd modeling and simulation is an active research field that has drawn increasing attention from industry, academia and government recently. In this paper, we present a generic data-driven approach to generate crowd behaviors that can match the video data. The proposed approach is a bi-layer model to simulate crowd behaviors in pedestrian traffic in terms of exclusion statistics, parallel dyn...

Complex systems experience dramatic changes in behavior and can undergo transitions from functional to dysfunctional states. An unstable system is prone to dysfunctional collective cascades that result from self-reinforcing behaviors within the system. Because many human and technological civilian and military systems today are complex systems, understanding their susceptibility to collective f...

We propose a software architecture that can ease and speed up the development process of controllers for heterogeneous swarm systems. It is inherently modular and allows behaviors to be combined in layers and reused in multiple controllers. This can potentially speedup the development process of controllers since they become much more readable and well structured. We validated the architecture ...

We propose a software architecture that can ease and speed up the development process of controllers for heterogeneous swarm systems. It is inherently modular and allows behaviors to be combined in layers and reused in multiple controllers. This can potentially speedup the development process of controllers since they become much more readable and well structured. We validated the architecture ...

This pape r traces the history of research for Collective Intelligence, and describes new forms of Collective Intelligence on the Internet so far especially from the view of Wcb2.0, 10 figure out what Collective Intelligence is, then makes analyses on those fonns to make clear the mechanism of Colledive Inte lligence on o.e Internel. As one Complcll: Adaptive System. Colledive Inte lligence is ...