Unraveling the Collective Dynamics of Complex Adaptive Biomedical Systems
نویسندگان
چکیده
منابع مشابه
Collective Dynamics and Homeostatic Emergence in Complex Adaptive Ecosystem
We investigate the behaviour of the daisyworld model on an adaptive network, comparing it to previous studies on a fixed topology grid, and a fixed small-world (Newman-Watts (NW)) network. The adaptive networks eventually generate topologies with small-world effect behaving similarly to the NW model – and radically different from the grid world. Under the same parameter settings, static but com...
متن کاملTheory of Collective Dynamics in Multi-Agent Complex Systems
Abstract. We discuss a crowd-based theory for describing the collective behavior in Complex Systems comprising multi-agent populations competing for a limited resource. These systems – whose binary versions we refer to as B-A-R (Binary Agent Resource) systems – have a dynamical evolution which is determined by the aggregate action of the heterogeneous, adaptive agent population. Accounting for ...
متن کاملControlling collective dynamics in complex minority-game resource-allocation systems.
Resource allocation takes place in various kinds of real-world complex systems, such as traffic systems, social services institutions or organizations, or even ecosystems. The fundamental principle underlying complex resource-allocation dynamics is Boolean interactions associated with minority games, as resources are generally limited and agents tend to choose the least used resource based on a...
متن کاملAdaptive Information Extraction for Complex Biomedical Tasks
Biomedical information extraction tasks are often more complex and contain uncertainty at each step during problem solving processes. We present an adaptive information extraction framework and demonstrate how to explore uncertainty using feedback integration. 1 Adaptive Information Extraction Biomedical information extraction (IE) tasks are often more complex and contain uncertainty at each st...
متن کاملComplex Networks: Information Theory and Collective Dynamics
In this report we briefly discuss about two aspects related to the understanding of complex networks’ structure and dynamics. First of all, is shown how we can use an Information theory approach to describe networks’ characteristics such as heterogeneity and assortativeness; in addition, some network models like “Random Graphs“ and “Lattice Networks“ are classified following that approach. Afte...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Current Trends in Biomedical Engineering & Biosciences
سال: 2017
ISSN: 2572-1151
DOI: 10.19080/ctbeb.2017.08.555749