Forecast of business performance using an agent-based model and its application to a decision tree Monte Carlo business valuation

2004 ◽  
Vol 344 (1-2) ◽  
pp. 87-94 ◽  
Author(s):  
Y. Ikeda ◽  
O. Kubo ◽  
Y. Kobayashi
Keyword(s):  
Monte Carlo ◽  
Decision Tree ◽  
Business Performance ◽  
Agent Based Model ◽  
Business Valuation ◽  
Agent Based

Monte Carlo Physarum Machine: An Agent-based Model for Reconstructing Complex 3D Transport Networks

2020 ◽  
Author(s):  
Oskar Elek ◽  
Joseph N. Burchett ◽  
J. Xavier Prochaska ◽  
Angus G. Forbes
Keyword(s):  
Monte Carlo ◽  
Agent Based Model ◽  
Transport Networks ◽  
Agent Based

Evolution of tag-based cooperation on Erdős–Rényi random graphs

2014 ◽  
Vol 25 (06) ◽  
pp. 1450006 ◽  
Author(s):  
F. W. S. Lima ◽  
Tarik Hadzibeganovic ◽  
Dietrich Stauffer
Keyword(s):  
Monte Carlo ◽  
Random Graph ◽  
Random Graphs ◽  
Phenotypic Traits ◽  
Artificial Agents ◽  
Agent Based Model ◽  
Agent Based ◽  
Mode Of Reproduction ◽  
Interacting Agents ◽  
Short Period

Here, we study an agent-based model of the evolution of tag-mediated cooperation on Erdős–Rényi random graphs. In our model, agents with heritable phenotypic traits play pairwise Prisoner's Dilemma-like games and follow one of the four possible strategies: Ethnocentric, altruistic, egoistic and cosmopolitan. Ethnocentric and cosmopolitan strategies are conditional, i.e. their selection depends upon the shared phenotypic similarity among interacting agents. The remaining two strategies are always unconditional, meaning that egoists always defect while altruists always cooperate. Our simulations revealed that ethnocentrism can win in both early and later evolutionary stages on directed random graphs when reproduction of artificial agents was asexual; however, under the sexual mode of reproduction on a directed random graph, we found that altruists dominate initially for a rather short period of time, whereas ethnocentrics and egoists suppress other strategists and compete for dominance in the intermediate and later evolutionary stages. Among our results, we also find surprisingly regular oscillations which are not damped in the course of time even after half a million Monte Carlo steps. Unlike most previous studies, our findings highlight conditions under which ethnocentrism is less stable or suppressed by other competing strategies.

scholarly journals Agent-based model of angiogenesis simulates capillary sprout initiation in multicellular networks

2015 ◽  
Vol 7 (9) ◽  
pp. 987-997 ◽  
Author(s):  
J. Walpole ◽  
J. C. Chappell ◽  
J. G. Cluceru ◽  
F. Mac Gabhann ◽  
V. L. Bautch ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Time Lapse ◽  
Confocal Imaging ◽  
Agent Based Model ◽  
Agent Based

We developed an agent-based model of endothelial sprout initiations based on time-lapse confocal imaging in vitro that outperforms Monte Carlo simulations, suggesting that sprout location and frequency are not purely stochastic behaviors.

scholarly journals Analysis and Simulation of Intervention Strategies against Bus Bunching by means of an Empirical Agent-Based Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-24
Author(s):  
Wei Liang Quek ◽  
Ning Ning Chung ◽  
Vee-Liem Saw ◽  
Lock Yue Chew
Keyword(s):  
Monte Carlo ◽  
Stochastic Dynamics ◽  
Probability Distributions ◽  
Intervention Strategies ◽  
Interarrival Time ◽  
Agent Based Model ◽  
Test Bed ◽  
Agent Based ◽  
Bus Bunching ◽  
Bus Network

In this paper, we propose an empirically based Monte Carlo bus-network (EMB) model as a test bed to simulate intervention strategies to overcome the inefficiencies of bus bunching. The EMB model is an agent-based model which utilizes the positional and temporal data of the buses obtained from the Global Positioning System (GPS) to constitute (1) a set of empirical velocity distributions of the buses and (2) a set of exponential distributions of interarrival time of passengers at the bus stops. Monte Carlo sampling is then performed on these two derived probability distributions to yield the stochastic dynamics of both the buses’ motion and passengers’ arrival. Our EMB model is generic and can be applied to any real-world bus network system. In particular, we have validated the model against the Nanyang Technological University’s Shuttle Bus System by demonstrating its accuracy in capturing the bunching dynamics of the shuttle buses. Furthermore, we have analyzed the efficacy of three intervention strategies: holding, no-boarding, and centralized-pulsing, against bus bunching by incorporating the rule set of these strategies into the model. Under the scenario where the buses have the same velocity, we found that all three strategies improve both the waiting and travelling times of the commuters. However, when the buses have different velocities, only the centralized-pulsing scheme consistently outperforms the control scenario where the buses periodically bunch together.

Sign in / Sign up

Export Citation Format

Share Document