Here, we introduce the numerical agent-based model acclimate designed to analyze the cascading of economic losses in the global supply network.
In this work, we focus on an open P2P file-sharing environment with reciprocity incentive mechanisms, and we evaluate the impact of different stranger policies to system performance and fairness using both numerical analyses and agent-based simulations.
In particular, the environment responds to the actions through rewards, i.e., numerical values that the agent tries to maximize over time.
It specifically addresses the issue of reflecting in the object oriented model of the system various dimensions including: the physical world of in-home bio-signal sensors, the numerical world of software agents and Internet-related technologies, and the medical and social worlds of patients, physicians and caregivers.
We have also performed numerical simulations of an agent-based model, which agree with the analytical result.
This dynamical systems-based approach also allows us to establish continuous numerical parameters for modifying each agent's behavior.
AGENT methodologies and numerical solutions are applicable in validating neutronic analysis for GenIV reactor designs while the effect of double heterogeneity in very high temperature reactors (VHTRs) is under development.
The numerical results indicate that the agents CF3H and CH2F2 are totally consumed in the flame and the burning velocity is reduced primarily by a reduction in the H-atom concentration through reactions leading to HF formation.
The paper discusses the developmental and reproductive consequences of induced chromosomal damage (structural rearrangements and numerical anomalies) and describes environmental agents that have been shown to produce such anomalies.
The proposed algorithm employs holonic structure of multi agent systems for optimizing numerical functions.
A numerical algorithm is employed after each agent update to shift the cells to minimise edge overlap arising due to cell growth, division and migration.
