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.

Designing Agent-Based Process Systems-Extending the OPEN Process Framework

2011 ◽  
pp. 160-190 ◽  
Author(s):  
J. Debenham ◽  
B. Henderson-Sellers
Keyword(s):  
Software Development ◽  
Case Studies ◽  
Agent Based ◽  
Process Systems ◽  
Development Methodology ◽  
Process Framework ◽  
Open Process ◽  
Object Technology ◽  
Additional Process ◽  
Agent Orientation

Originally a development methodology targeted at object technology, the OPEN Process Framework (OPF) is found to be a successful basis for extensions that support agent-oriented software development. Here we describe the process components necessary to agent-oriented support and illustrate the extensions by means of two small case studies that illustrate the extensions by means of two small case studies that illustrate both task-driven processes and goal-driven processes. The additional process components for Tasks and Techniques are all generated from the OPF’s metamodel, which gives the OPF its flexibility and tailorability to a wide variety of situations—here agent-orientation.

Agent-Based Simulation for Software Development Processes

2017 ◽  
pp. 333-340 ◽  
Author(s):  
Tobias Ahlbrecht ◽  
Jürgen Dix ◽  
Niklas Fiekas ◽  
Jens Grabowski ◽  
Verena Herbold ◽  
...  
Keyword(s):  
Software Development ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Development Processes

Risk Evaluation by Human Trajectory Simulation Based on Real Data

2011 ◽  
Vol 15 (2) ◽  
pp. 220-225
Author(s):  
Kiyoshi Izumi ◽  
◽  
Yoshifumi Nishida ◽  
Yoichi Motomura ◽  
Keyword(s):  
Risk Evaluation ◽  
Real Data ◽  
Public Spaces ◽  
Layout Design ◽  
Sensor Data ◽  
Agent Based Simulation ◽  
New Approach ◽  
Agent Based ◽  
Trajectory Simulation ◽  
Simulation Based

This paper proposes a new approach integrating the modeling of moving persons from sensor data and agent-based simulation for indoor layout design viewed from preventing children’s accidents. Our model focuses on interaction between indoor objects and children to estimate the risk of indoor accidents. We discuss the agent-based simulation of multiple persons moving in public spaces and its application to evaluating information presentation for guidance.

scholarly journals Agent-Based Simulation for Evaluation of Contact-Tracing Policies Against the Spread of SARS-CoV-2

2020 ◽  
Author(s):  
Martin Bicher ◽  
Claire Rippinger ◽  
Christoph Urach ◽  
Dominik Brunmeir ◽  
Uwe Siebert ◽  
...  
Keyword(s):  
Case Studies ◽  
Exploratory Analysis ◽  
Contact Tracing ◽  
Agent Based Simulation ◽  
Effective Measure ◽  
Agent Based ◽  
The World ◽  
Different Characteristics ◽  
Second Wave ◽  
Restrictive Policy

AbstractThe decline of active COVID-19 cases in many countries in the world has proved that lockdown policies are indeed a very effective measure to stop the exponential spread of the virus. Still, the danger of a second wave of infections is omnipresent and it is clear, that every policy of the lockdown has to be carefully evaluated and possibly replaced by a different, less restrictive policy, before it can be lifted. Tracing of contacts and consequential tracing and breaking of infection-chains is a promising and comparably straightforward strategy to help containing the disease, although its precise impact on the epidemic is unknown. In order to quantify the benefits of tracing and similar policies we developed an agent-based model that not only validly depicts the spread of the disease, but allows for exploratory analysis of containment policies. We will describe our model and perform case studies in which we use the model to quantify impact of contact tracing in different characteristics and draw valuable conclusions about contact tracing policies in general.

Social and Group Simulation Based on Real Data Analysis

2011 ◽  
Vol 15 (2) ◽  
pp. 166-172
Author(s):  
Kiyoshi Izumi ◽  
◽  
Keiki Takadama ◽  
Hiromitsu Hattori ◽  
Nariaki Nishino ◽  
...  
Keyword(s):  
Data Analysis ◽  
Financial Marketing ◽  
Real Data ◽  
Social Simulation ◽  
Sustainable Society ◽  
Agent Based Simulation ◽  
Simulation Research ◽  
Agent Based ◽  
Simulation Based ◽  
General Method

Recently, social simulation research based on real data has appeared in various fields. This paper introduces studies of Agent-Based Simulation (ABSs) based on real data, focusing on introducing studies in the fields of financial marketing, traffic, pedestrians, and a sustainable society. We also introduce some approaches to establish a general method and/or theory about linking social simulation to real data. Finally, we categorize ABS research for understanding ABS research features.

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.

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