scholarly journals COMPARING DESIGN OUTCOMES ACHIEVED BY TEAMS OF EXPERT AND NOVICE DESIGNERS THROUGH AGENT-BASED SIMULATION

2021 ◽  
Vol 1 ◽  
pp. 661-670
Author(s):  
Harshika Singh ◽  
Gaetano Cascini ◽  
Christopher McComb
Keyword(s):  
Collaborative Design ◽  
Laboratory Experiments ◽  
Design Space ◽  
Design Teams ◽  
Agent Based Model ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Expert And Novice ◽  
Novice Designers

AbstractPrevious research has shown that experienced and novice individuals behave and think differently. Although experienced individuals are better at solving problems, organisations are constantly forming teams of experienced and novice designers to work together on their projects. It is crucial to understand how these teams affect the design outcomes. Therefore, the aim of the study is to investigate how collaborative design teams perform when composed of varying numbers of experienced and novice agents. Specifically in this paper, teams work on a routine task and design outcomes are measured in terms of quality, variety, and exploration of the design space. Since the parameters in the empirical laboratory experiments are difficult to control, an agent-based model was used to simulate these teams. In general, the results show that a team of novice agents with a small number of experienced agents produces solutions of higher quality than an all novice team of agents. However, an all novice team of agents does provide a higher variety of solutions. These results have important implications when teams of experienced and novice designers are formed to work together in practice.

Microbial Fuel Cells Using Agent-Based Simulation

2017 ◽  
pp. 212-226
Author(s):  
Diogo Ortiz Machado ◽  
Diana Francisca Adamatti ◽  
Eder Mateus Nunes Gonçalves
Keyword(s):  
Wastewater Treatment ◽  
Fuel Cells ◽  
Microbial Fuel Cells ◽  
Electrical Energy ◽  
Analytical Models ◽  
Agent Based Model ◽  
Technological Opportunity ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Model And Simulation

Microbial Fuel Cells (MFC) could generate electrical energy combined with the wastewater treatment and they can be a promising technological opportunity. This chapter presents an agent-based model and simulation of MFC comparing it with analytical models, to show that this approach could model and simulate these problems with more abstraction and with excellent results.

scholarly journals A Computational Study of the Effect of Experience on Problem/Solution Space Exploration in Teams

2019 ◽  
Vol 1 (1) ◽  
pp. 11-20
Author(s):  
Marija Majda Perisic ◽  
Tomislav Martinec ◽  
Mario Storga ◽  
John S Gero
Keyword(s):  
Computational Study ◽  
Space Exploration ◽  
Solution Space ◽  
Problem Solution ◽  
Design Team ◽  
Design Teams ◽  
Agent Based Model ◽  
Problem Space ◽  
Agent Based ◽  
The Impact

AbstractThis paper presents the results of computational experiments aimed at studying the effect of experience on design teams’ exploration of problem-solution space. An agent-based model of a design team was developed and its capability to match theoretically-based predictions is tested. Hypotheses that (1) experienced teams need less time to find a solution and that (2) in comparison to the inexperienced teams, experienced teams spend more time exploring the solution-space than the problem-space, were tested. The results provided support for both of the hypotheses, demonstrating the impact of learning and experience on the exploration patterns in problem and solution space, and verifying the system's capability to produce the reliable results.

Agent Based Model to Analyze Consumer Behavior in Consuming the Electricity Energy

2015 ◽  
Vol 72 (4) ◽  
Author(s):  
Erma Suryani ◽  
Rully Agus Hendrawan ◽  
Umi Salama ◽  
Lily Puspa Dewi
Keyword(s):  
Consumer Behavior ◽  
Simulation Model ◽  
Environmental Awareness ◽  
Electricity Consumption ◽  
Point Of View ◽  
Agent Based Model ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Save Energy ◽  
The Impact

Several studies have been conducted regarding save energy in consuming the electricity through the simple changes in routines and habits. In the case of electricity consumption, consumer behavior might influenced by several factors such as consumer profession, season, and environmental awareness. In this paper, we developed an Agent Based Model (ABM) to analyze the behavior of different agents in consuming the electricity energy for each type of profession (agent) as well as their interaction with the environment. This paper demonstrates a prototype agent based simulation model to estimate the electricity consumption based on the existing condition and some scenarios to reduce the electricity consumption from consumer point of view. From the scenario results, we analyzed the impact of the save energy to increase the electrification ratio. 

scholarly journals Agent-Based Simulation of Hardware-Intensive Design Teams Using the Function–Behavior–Structure Framework

Systems ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 37 ◽  
Author(s):  
Mitch Bott ◽  
Bryan Mesmer
Keyword(s):  
Software Development ◽  
Case Studies ◽  
Design Teams ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Agile Processes ◽  
Structure Framework ◽  
Simulation Based ◽  
Space Launch ◽  
Intensive System

Agile processes have been used in software development, with many case studies indicating positive changes in productivity when these processes are used. Agile processes are beginning to be applied to work beyond software-centric systems. There does not yet exist a diverse set of studies on the effectiveness of Agile processes on hardware-intensive systems. The research in this article applies a modeling and simulation-based approach which uses the function–behavior–structure framework to evaluate the effectiveness of waterfall and Agile processes. The simulation was validated against case studies of software-centric design efforts. When applied to a space launch vehicle—a highly coupled, hardware-intensive system—the simulation shows that the benefits of Agile may not be as great as those seen with software-intensive systems.

Agent-Based Macroeconomic Modeling and Policy Analysis

2018 ◽  
Author(s):  
Herbert Dawid ◽  
Simon Gemkow ◽  
Philipp Harting ◽  
Sander van der Hoog ◽  
Michael Neugart
Keyword(s):  
Policy Analysis ◽  
Simulation Models ◽  
Proof Of Concept ◽  
Agent Based Model ◽  
Agent Based Models ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Modeling Approaches ◽  
Macroeconomic Modeling ◽  
Spatial Policy

This chapter introduces the Eurace@Unibi model, one of the agent-based simulation models that are relatively new additions to the toolbox of macroeconomists, and the research that has been done within this framework. It shows how an agent-based model can be used to identify economic mechanisms and how it can be applied to spatial policy analysis. The assessment is that agent-based models in economics have passed the proof-of-concept phase and it is now time to move beyond that stage. It has been shown that new kinds of insights can be obtained that complement established modeling approaches. The chapter concludes by pointing toward some potentially fruitful areas of agent-based macroeconomic research.

scholarly journals Why a Globally Fair COVID-19 Vaccination? An Analysis based on Agent-Based Simulation

2021 ◽  
Author(s):  
Kashif Zia
Keyword(s):  
Transmission Model ◽  
Agent Based Model ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Simulation Results ◽  
Time Required ◽  
The Impact ◽  
Spatial Transmission

In this paper, an Agent-Based Model (ABM) is proposed to evaluate the impact of COVID-19 vaccination drive in different settings. The main focus is to evaluate the counter-effectiveness of disparity in vaccination drive among different regions/countries. The model proposed is simple yet novel in the sense that it captures the spatial transmission-induced activity into consideration, through which we are able to relate the transmission model to the mutated variations of the virus. Some important what-if questions are asked in terms of the number of deaths, and time required and the percentage of the population needed to be vaccinated before the pandemic is eradicated. The simulation results have revealed that it is necessary to maintain a global (rather than regional or country-oriented) vaccination drive in case of a new pandemic or continual efforts against COVID-19.

Establishing a Protocol to Observe Leadership Behaviors Within Engineering Design Teams

2018 ◽  
Author(s):  
Doug Chickarello ◽  
James Righter ◽  
Apurva Patel ◽  
Joshua D. Summers
Keyword(s):  
Engineering Design ◽  
Collaborative Design ◽  
Interrater Reliability ◽  
Design Space ◽  
Leadership Behaviors ◽  
Video Recording ◽  
Design Teams ◽  
Rater Agreement ◽  
Design Activities ◽  
Student Team

The purpose of this study is to establish a protocol capable of identifying functional leadership behaviors in engineering design teams. The protocol is developed from a literature review that includes general leadership theory and research performed on collaborative design teams. Three different raters applied the leadership protocol to a video recording of a graduate student team performing a function structure modeling activity. The results of the study demonstrate that the protocol has a high amount of intra-rater agreement and an acceptable level of interrater reliability. Additionally, the pilot study revealed that clarification and refinement of the protocol with respect to leader/follower behaviors can improve rater agreement. Finally, changes to the protocol are proposed to map leadership behaviors to the design space the team is working in and the design activities that the team is performing.

Agent-Based Simulation of Forest Firefighting

2012 ◽  
Vol 468-471 ◽  
pp. 480-483
Author(s):  
Chun Yuan Chang ◽  
Chun Mei Yang ◽  
Xiao Fang Sun
Keyword(s):  
Forest Fire ◽  
Linear Method ◽  
Fire Spread ◽  
Simulation Software ◽  
Theory And Practice ◽  
Fire Fighting ◽  
Agent Based Model ◽  
Agent Based Simulation ◽  
Agent Based ◽  
And Behaviors

Forest fire fighting is very complex, the simulation using linear method is impossible. This paper proposed an Agent-based model for forest firefighting, designed the properties and behaviors of Fire Agent, Fighter Agent, and Commander Agent, simulated the fire spread and firefighting in forest by the three kinds of Agent’s actions, evolutions, and interactions; Developed the simulation software on Repast, which is composed of fire context, Agents, display, statistics and analysis etc; Simulated fighting with different number of Fighter Agent. The simulation’s statistics and analysis of Agents support both theory and practice for forest firefighting.

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