scholarly journals AGENT-BASED SIMULATION TO SUPPORT DECISION MAKING IN HEALTHCARE MANAGEMENT PLANNING

2010 ◽  
Keyword(s):  
Decision Making ◽  
Healthcare Management ◽  
Agent Based Simulation ◽  
Management Planning ◽  
Agent Based ◽  
Support Decision Making

An agent-based simulation model for IING’s adoption from a perspective of kinetic energy and potential energy

Kybernetes ◽  
2018 ◽  
Vol 47 (3) ◽  
pp. 605-635 ◽  
Author(s):  
Li Wang ◽  
Qingpu Zhang
Keyword(s):  
Decision Making ◽  
Kinetic Energy ◽  
Potential Energy ◽  
Agent Based Simulation ◽  
Content Type ◽  
Agent Based ◽  
Factors Influencing ◽  
Social Physics ◽  
Physical Energy ◽  
Energy Theory

Purpose Internet-based intangible network good (IING) has revolutionized multiple industries in recent years. This paper aims to reveal the laws of consumer’s decision-making on IING from a perspective of kinetic energy and potential energy. Design/methodology/approach In this paper, 4 aspects and 17 factors influencing IING adoption were generalized. Based on the theory of social physics, an agent-based simulation model, introducing physical energy theory to depict consumer’s decision-making, was built. An agent’s kinetic energy reflects the agent’s perceived effect of mass media on the agent’s decision-making on IING adoption. An agent’s potential energy reflects the agent’s perceived effect of social interactions on the agent’s decision-making on the adoption of IING. An agent’s final energy is the sum of the kinetic energy and potential energy, which reflects the agent’s final decision. Findings Some factors mainly influence the diffusion velocity, while other factors have a dramatic impact on both diffusion velocity and diffusion scale. The agent’s personality can make a difference at the early and middle stages of IING adoption, but a faint impact at the later stage because of the effects of network externalities and word of mouth. There is a critical value of the number of initial adopters which can dramatically speed up IING adoption. Practical implications This study provides new insights for firms on the effects of factors influencing consumers’ decision-making on IING adoption. Originality/value This paper defines a new kind of innovation, IING, and generalizes IING’s special characteristics. As a new application of social physics, the physical energy theory has been creatively introduced to depict consumer’s decision-making on IING adoption. A kinetic and potential energy model of IING adoption has been built. Based on simulation experiments, new insights of IING adoption have been gained.

The effects of mental model formation on group decision making: An agent-based simulation

Complexity ◽  
2010 ◽  
Vol 16 (3) ◽  
pp. 49-57 ◽  
Author(s):  
Hiroki Sayama ◽  
Dene L. Farrell ◽  
Shelley D. Dionne
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Mental Model ◽  
Group Decision ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Model Formation

scholarly journals Multiobjective Decision Making Policies and Coordination Mechanisms in Hierarchical Organizations: Results of an Agent-Based Simulation

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Stephan Leitner ◽  
Friederike Wall
Keyword(s):  
Decision Making ◽  
Performance Improvement ◽  
Coordination Mode ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Multiobjective Decision Making ◽  
Overall Performance ◽  
Hierarchical Organizations ◽  
The Impact ◽  
Adaptive Walk

This paper analyses how different coordination modes and different multiobjective decision making approaches interfere with each other in hierarchical organizations. The investigation is based on an agent-based simulation. We apply a modified NK-model in which we map multiobjective decision making as adaptive walk on multiple performance landscapes, whereby each landscape represents one objective. We find that the impact of the coordination mode on the performance and the speed of performance improvement is critically affected by the selected multiobjective decision making approach. In certain setups, the performances achieved with the more complex multiobjective decision making approaches turn out to be less sensitive to the coordination mode than the performances achieved with the less complex multiobjective decision making approaches. Furthermore, we present results on the impact of the nature of interactions among decisions on the achieved performance in multiobjective setups. Our results give guidance on how to control the performance contribution of objectives to overall performance and answer the question how effective certain multiobjective decision making approaches perform under certain circumstances (coordination mode and interdependencies among decisions).

The Effects of Different Interaction Protocols in Agent-Based Simulation of Social Activities

2012 ◽  
pp. 11-24
Author(s):  
Nicole Ronald ◽  
Theo Arentze ◽  
Harry Timmermans
Keyword(s):  
Decision Making ◽  
Decision Process ◽  
Social Activity ◽  
Travel Behaviour ◽  
Large Role ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Interaction Protocols ◽  
Modelling Techniques ◽  
Simulation Results

Decision making in models of activity and travel behaviour is usually individual-based and focuses on outcomes rather than the decision process. Using agent-based modelling techniques and incorporating interaction protocols into the model can assist in modelling decision-making in more detail. This paper describes an agent-based model of social activity generation and scheduling, in which utility-based agents interact with each other to schedule activities. Six different protocols are tested. The authors show that the model outcomes reflect minor changes in the protocol, while changing the order of the protocol leads to significantly different outcomes, hence the protocol plays a large role in the simulation results and should be studied in more detail.

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
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Computer Simulation ◽  
Real Life ◽  
Medical Sciences ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Engineering Aspect ◽  
Multi Agent ◽  
The Cost

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.

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