scholarly journals Modeling the Disorder of Closed System by Multi-Agent Based Simulation

Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1105 ◽  
Author(s):  
Krzysztof Małecki ◽  
Tomasz M. Gwizdałła ◽  
Paweł Bieńko

Mess (disorder)—there are many different meanings related to this problem. The explicit majority comes from the area of philosophical, social and medical sciences. In our paper, we try to present the engineering aspect of the concept of disorder. We propose a mathematical model which describes the effects and consequences concerning the process of making the mess. We use Multi-Agent Modeling, where there are several independent agents with decision-making ability. Each agent has the ability to communicate and perceive for achieving its own aim. We use square grid n × n with objects which can be moved by agents to another places. The degree of disorder of the system is examined by the value of entropy. Using computer simulation, we investigate the time needed to find the desired thing in an environment in which agents (in real life, people) co-exist and they have different tendencies to tidiness. The cost of mess is counted as the number of attempts to access the object in the analyzed system and the time needed to locate the object.

2018 ◽  
Vol 15 (4) ◽  
pp. 123-134 ◽  
Author(s):  
Mohamed Amine Souissi ◽  
Khalid Bensaid ◽  
Rachid Ellaia

The stock market represents complex systems where multiple agents interact. The complexity of the environment in the financial markets in general has encouraged the use of modeling by multi-agent platforms and particularly in the case of the stock market.In this paper, an agent-based simulation model is proposed to study the behavior of the volume of market transactions. The model is based on the case of a single asset and three types of investor agents. Each investor can be a zero intelligent trader, fundamentalist trader or traders using historical information in the decision making process. The goal of the study is to simulate the behavior of a stock market according to the different considered endogenous and exogenous variables.


2015 ◽  
Vol 98 (7) ◽  
pp. 22-33
Author(s):  
GAKU HASHIMOTO ◽  
TAKANORI FUJIWARA ◽  
MASAAKI SUZUKI ◽  
HIROSHI OKUDA ◽  
JUNJI ISE ◽  
...  

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