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- Title
ESTIMATION OF THE AGENT BEHAVIORS BY USING THE TAYLOR SERIES APPROXIMATION.
- Authors
Emek, Sevcan; Bora, Şebnem
- Abstract
In the agent-based modeling approach, agents play an important role in determining the behavior of the system. The agents are autonomous components of the agent-based model of a real system. An agent is defined as having a set of features and rules governing behavior and decision-making. In this study, a numerical solution is presented for determining some rules of behaviors of agents. Behavioral functions that will guide the actions of the agents in the model are handled with the Taylor series approach. The Taylor series can estimate a function value at the initial agent in terms of the function value and its derivatives at another agent. An agent-based cross-sectional model is examined with some experimental results by using Taylor series expansion. Compared to the results of the study which is presented with the agent-based modeling approach, the Taylor Series obtains successful solutions based on distance points of the agents. This study presents a hybrid model perspective by proposing a numerical method approach to determining agent behaviors.
- Subjects
TAYLOR'S series; DECISION making
- Publication
SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi, 2020, Vol 8, p35
- ISSN
1308-6693
- Publication type
Article
- DOI
10.21923/jesd.828792