scholarly journals Axiomatisation and Simulation

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 53 ◽  
Author(s):  
Klaus Troitzsch
Keyword(s):  
Simulation Model ◽  
Simulation Models ◽  
Formal Definition ◽  
Agent Based Simulation ◽  
Historical Process ◽  
Agent Based ◽  
History Of ◽  
Structuralist Reconstruction ◽  
Definition Of ◽  
Verbal Theory

The paper discusses the relation between the “non-statement view” of the structuralist program in philosophy of science and agent-based simulation and the use of this relation for a deeper understanding of the verification and the validation of simulation models. To this end it uses the history of the gender desegregation process in German schools in the second half of the 20th century and two simulation models trying to explain and understand this historical process. The relation between the two simulation models on one hand and the structuralist reconstruction of the mental and verbal theory of the observed phenomenon is depicted step by step, showing the verification of the more recent simulation model along the lines of the formal definition of this theory. Finally, the simulation model is used to make two unobservable parameters measurable with the help of the formalised theory, which allows new insights into the historical process.

Agents in bioinformatics

2005 ◽  
Vol 20 (2) ◽  
pp. 117-125 ◽  
Author(s):  
MICHAEL LUCK ◽  
EMANUELA MERELLI
Keyword(s):  
Data Analysis ◽  
Simulation Models ◽  
Biological Data ◽  
System Modelling ◽  
Agent Based Simulation ◽  
Huge Amount ◽  
Agent Based ◽  
Information Agents ◽  
New Knowledge ◽  
Definition Of

The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire collaboration between the agent and bioinformatics communities with the aim of creating an opportunity to propose a different (agent-based) approach to the development of computational frameworks both for data analysis in bioinformatics and for system modelling in computational biology. During the day, the participants examined the future of research on agents in bioinformatics primarily through 12 invited talks selected to cover the most relevant topics. From the discussions, it became clear that there are many perspectives to the field, ranging from bio-conceptual languages for agent-based simulation, to the definition of bio-ontology-based declarative languages for use by information agents, and to the use of Grid agents, each of which requires further exploration. The interactions between participants encouraged the development of applications that describe a way of creating agent-based simulation models of biological systems, starting from an hypothesis and inferring new knowledge (or relations) by mining and analysing the huge amount of public biological data. In this report we summarize and reflect on the presentations and discussions.

scholarly journals Investigation and prediction of open source software evolution using automated parameter mining for agent-based simulation

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Daniel Honsel ◽  
Verena Herbold ◽  
Stephan Waack ◽  
Jens Grabowski
Keyword(s):  
Simulation Model ◽  
Software Evolution ◽  
Prediction Models ◽  
Structural Evolution ◽  
Simulation Models ◽  
Agent Based Simulation ◽  
Specific Data ◽  
Agent Based ◽  
Project Data ◽  
The Impact

AbstractTo guide software development, the estimation of the impact of decision making on the development process can be helpful in planning. For this estimation, often prediction models are used which can be learned from project data. In this paper, an approach for the usage of agent-based simulation for the prediction of software evolution trends is presented. The specialty of the proposed approach lies in the automated parameter estimation for the instantiation of project-specific simulation models. We want to assess how well a baseline model using average (commit) behavior of the agents (i.e., the developers) performs compared to models where different amount of project-specific data is fed into the simulation model. The approach involves the interplay between the mining framework and simulation framework. Parameters to be estimated include, e.g., file change probabilities of developers and the team constellation reflecting different developer roles. The structural evolution of software projects is observed using change coupling graphs based on common file changes. For the validation of simulation results, we compare empirical with simulated results. Our results showed that an average simulation model can mimic general project growth trends like the number of commits and files well and thus, can help project managers in, e.g., controlling the onboarding of developers. Besides, the simulated co-change evolution could be improved significantly using project-specific data.

Agent-based simulation of a fire department’s response to emergency incidents: an updated model

2019 ◽  
Author(s):  
Adriano O. Solis ◽  
Jenaro Nosedal-Sánchez ◽  
Ali Asgary ◽  
Francesco Longo ◽  
Deryn Rizzi ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Simulation Model ◽  
Simulation Models ◽  
Modelling And Simulation ◽  
Fire Departments ◽  
Agent Based Simulation ◽  
Simulation Experiments ◽  
Agent Based ◽  
Rescue Service ◽  
Current Report

A modelling and simulation (M&S) approach was earlier developed, following statistical analysis of the emergency incident database of the Vaughan Fire & Rescue Service covering eight years of consecutive incident records from January 2009 to December 2016. The M&S framework, which could potentially be replicated for fire departments across Canada, involved two different simulation models running on separate platforms: (i) an Incident Generation Engine, which simulates the ‘arrival’ of emergency incidents, and (ii) a Response Simulation Model. The current report covers only an update of the Response Simulation Model, an agent-based model developed using AnyLogic. Two issues associated with the earlier Response Simulation Model have specifically been addressed and resolved by the updated model. We report on findings from our simulation experiments based on the updated model.

scholarly journals On the quest for defining organisational plasticity: a community modelling experiment

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peer-Olaf Siebers ◽  
Dinuka Herath ◽  
Emanuele Bardone ◽  
Siavash Farahbakhsh ◽  
Peter Gloggengiehser Knudsen ◽  
...  
Keyword(s):  
Simulation Model ◽  
Computational Simulation ◽  
Idea Generation ◽  
Simulation Models ◽  
Social Simulation ◽  
Agent Based Simulation ◽  
Content Type ◽  
Agent Based ◽  
Modelling Framework ◽  
The Social

PurposeThis viewpoint article is concerned with an attempt to advance organisational plasticity (OP) modelling concepts by using a novel community modelling framework (PhiloLab) from the social simulation community to drive the process of idea generation. In addition, the authors want to feed back their experience with PhiloLab as they believe that this way of idea generation could also be of interest to the wider evidence-based human resource management (EBHRM) community.Design/methodology/approachThe authors used some workshop sessions to brainstorm new conceptual ideas in a structured and efficient way with a multidisciplinary group of 14 (mainly academic) participants using PhiloLab. This is a tool from the social simulation community, which stimulates and formally supports discussions about philosophical questions of future societal models by means of developing conceptual agent-based simulation models. This was followed by an analysis of the qualitative data gathered during the PhiloLab sessions, feeding into the definition of a set of primary axioms of a plastic organisation.FindingsThe PhiloLab experiment helped with defining a set of primary axioms of a plastic organisation, which are presented in this viewpoint article. The results indicated that the problem was rather complex, but it also showed good potential for an agent-based simulation model to tackle some of the key issues related to OP. The experiment also showed that PhiloLab was very useful in terms of knowledge and idea gathering.Originality/valueThrough information gathering and open debates on how to create an agent-based simulation model of a plastic organisation, the authors could identify some of the characteristics of OP and start structuring some of the parameters for a computational simulation. With the outcome of the PhiloLab experiment, the authors are paving the way towards future exploratory computational simulation studies of OP.

scholarly journals An agent-based simulation model of human-robot team performance in military environments

2012 ◽  
Vol 16 (1) ◽  
pp. 15-28 ◽  
Author(s):  
Ronald E. Giachetti ◽  
Veronica Marcelli ◽  
José Cifuentes ◽  
José A. Rojas
Keyword(s):  
Simulation Model ◽  
Team Performance ◽  
Agent Based Simulation ◽  
Agent Based

scholarly journals Application of Agent-based Modeling for Cultural Information-based Decisions Making

2020 ◽  
Vol 88 ◽  
pp. 8-28
Author(s):  
Rimvydas Laužikas ◽  
Darius Plikynas ◽  
Vytautas Dulskis ◽  
Leonidas Sakalauskas ◽  
Arūnas Miliauskas
Keyword(s):  
Social Capital ◽  
Simulation Model ◽  
Cultural Participation ◽  
Agent Based Simulation ◽  
Research Issues ◽  
Agent Based ◽  
Cultural Events ◽  
The Social ◽  
Cultural Processes ◽  
The Impact

The impact of cultural processes on personal and social changes is one of the important research issues not only in contemporary social sciences but also for simulation of future development scenarios and evidence-based policy decision making. In the context of the theoretical concept of cultural values, based on the system theory and theory of social capital, the impact of cultural events could be analyzed and simulated by focussing on the construction/deconstruction of social capital, which takes place throughout the actor’s cultural participation. The main goal of this research is the development of measuring metrics, and agent-based simulation model aimed at investigation of the social impact of cultural processes.  This paper provides new insights of modeling the social capital changes in a society and its groups, depending on cultural participation. The proposed measurement metrics provide the measurement facility of three key components: actors, cultural events and events flow and social capital. It provides the initial proof of concept simulation results, - simplified agent-based simulation model showcase. The NetLogo MAS platform is used as a simulation environment.  

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