A NOVEL APPROACH OF REQUIREMENT GATHERING AND ANALYSIS FOR AGENT ORIENTED SOFTWARE ENGINEERING (AOSE)

2009 ◽  
Vol 19 (01) ◽  
pp. 79-111
Author(s):  
PRABHAT RANJAN ◽  
A. K. MISRA
Keyword(s):  
System Development ◽  
Specific Model ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Domain Specific ◽  
Analysis Methodology ◽  
Analysis Process ◽  
Agent Oriented Software Engineering ◽  
Novel Approach ◽  
Specific Analysis

In this paper, an agent-based open and adaptive system development process has been proposed which continuously change and evolve to meet new requirements. The proposed methodology is based on a model-based technique that provides a specific model for the type of information to be gathered and uses this model to drive the domain specific analysis process. The focus is on a clear separtion between the requirement gathering and analysis phases. The analysis methodology further splits the analysis phase into the user_centric analysis and the system_centric analysis phases. Optimization of the system performance has also been proposed by exploiting the relationships and dependencies among roles and mapping criteria between roles to agents. The Gaia and ROADMAP models have been used as a basis to the proposed agent-based modeling method.

A Novel Approach to Multihazard Modeling and Simulation

2009 ◽  
Vol 3 (2) ◽  
pp. 75-87 ◽  
Author(s):  
Silas W. Smith ◽  
Ian Portelli ◽  
Giuseppe Narzisi ◽  
Lewis S. Nelson ◽  
Fabian Menges ◽  
...  
Keyword(s):  
Public Health ◽  
Injury Severity ◽  
Agent Based Modeling ◽  
Psychosocial Characteristics ◽  
Disaster Plan ◽  
Agent Based ◽  
Information System Architecture ◽  
Modeling Approach ◽  
Novel Approach ◽  
Systemic Stress

ABSTRACTObjective: To develop and apply a novel modeling approach to support medical and public health disaster planning and response using a sarin release scenario in a metropolitan environment.Methods: An agent-based disaster simulation model was developed incorporating the principles of dose response, surge response, and psychosocial characteristics superimposed on topographically accurate geographic information system architecture. The modeling scenarios involved passive and active releases of sarin in multiple transportation hubs in a metropolitan city. Parameters evaluated included emergency medical services, hospital surge capacity (including implementation of disaster plan), and behavioral and psychosocial characteristics of the victims.Results: In passive sarin release scenarios of 5 to 15 L, mortality increased nonlinearly from 0.13% to 8.69%, reaching 55.4% with active dispersion, reflecting higher initial doses. Cumulative mortality rates from releases in 1 to 3 major transportation hubs similarly increased nonlinearly as a function of dose and systemic stress. The increase in mortality rate was most pronounced in the 80% to 100% emergency department occupancy range, analogous to the previously observed queuing phenomenon. Effective implementation of hospital disaster plans decreased mortality and injury severity. Decreasing ambulance response time and increasing available responding units reduced mortality among potentially salvageable patients. Adverse psychosocial characteristics (excess worry and low compliance) increased demands on health care resources. Transfer to alternative urban sites was possible.Conclusions: An agent-based modeling approach provides a mechanism to assess complex individual and systemwide effects in rare events. (Disaster Med Public Health Preparedness. 2009;3:75–87)

scholarly journals Applicability of Agent-based Modeling for Supporting Product-service System Development

Procedia CIRP ◽  
2014 ◽  
Vol 16 ◽  
pp. 356-361 ◽  
Author(s):  
Sebastian Maisenbacher ◽  
Dominik Weidmann ◽  
Daniel Kasperek ◽  
Mayada Omer
Keyword(s):  
Service System ◽  
System Development ◽  
Agent Based Modeling ◽  
Product Service System ◽  
Agent Based ◽  
Product Service

scholarly journals University Operations During a Pandemic: A Flexible Decision Analysis Toolkit

2021 ◽  
Vol 12 (4) ◽  
pp. 1-24
Author(s):  
Himanshu Kharkwal ◽  
Dakota Olson ◽  
Jiali Huang ◽  
Abhiraj Mohan ◽  
Ankur Mani ◽  
...  
Keyword(s):  
Social Contact ◽  
Agent Based Modeling ◽  
Contact Modeling ◽  
Flexible Tool ◽  
Agent Based ◽  
University Campuses ◽  
Novel Approach ◽  
The University ◽  
Simulation Parameters ◽  
The Impact

Modeling infection spread during pandemics is not new, with models using past data to tune simulation parameters for predictions. These help in understanding of the healthcare burden posed by a pandemic and responding accordingly. However, the problem of how college/university campuses should function during a pandemic is new for the following reasons: (i) social contact in colleges are structured and can be engineered for chosen objectives; (ii) the last pandemic to cause such societal disruption was more than 100 years ago, when higher education was not a critical part of society; (iii) not much was known about causes of pandemics, and hence effective ways of safe operations were not known; and (iv) today with distance learning, remote operation of an academic institution is possible. As one of the first to address this problem, our approach is unique in presenting a flexible simulation system, containing a suite of model libraries, one for each major component. The system integrates agent-based modeling and the stochastic network approach, and models the interactions among individual entities (e.g., students, instructors, classrooms, residences) in great detail. For each decision to be made, the system can be used to predict the impact of various choices, and thus enables the administrator to make informed decisions. Although current approaches are good for infection modeling, they lack accuracy in social contact modeling. Our agent-based modeling approach, combined with ideas from Network Science, presents a novel approach to contact modeling. A detailed case study of the University of Minnesota’s Sunrise Plan is presented. For each decision made, its impact was assessed, and results were used to get a measure of confidence. We believe that this flexible tool can be a valuable asset for various kinds of organizations to assess their infection risks in pandemic-time operations, including middle and high schools, factories, warehouses, and small/medium-sized businesses.

scholarly journals Applicability of an agent-based modeling concept to modeling of transportation phenomena

2002 ◽  
Vol 12 (2) ◽  
pp. 141-156 ◽  
Author(s):  
Shinya Kikuchi ◽  
Jongho Rhee ◽  
Dusan Teodorovic
Keyword(s):  
Traditional Approach ◽  
Financial Economic ◽  
Transportation Systems ◽  
Behavioral Pattern ◽  
Agent Based Modeling ◽  
Modeling And Analysis ◽  
Agent Based ◽  
Transportation Problems ◽  
Analysis Process ◽  
The Individual

Today's transportation problems are found in the complex interactions of social, financial, economic, political, and engineering issues. The traditional approach to analyzing transportation problems has been the top-down approach, in which a set of overall objectives is defined and specific parts are fitted in the overall scheme. The effectiveness of this analysis process has been challenged when many issues need to be addressed at once and the individual parts participants to decisions have greater autonomy. A factor contributing to this phenomenon is the greater opportunity and power for individual parts to communicate and to interact with one another. As a result, it has become increasingly difficult to predict or control the overall performance of a large system, or to diagnose particular phenomena. In the past decade, the concept of agent-based modeling has been developed and applied to problems that exhibit a complex behavioral pattern. This modeling approach considers that each part acts on the basis of its local knowledge and cooperates and/or competes with other parts. Through the aggregation of the individual interactions, the overall image of the system emerges. This approach is called the bottom-up approach. This paper examines the link between today's transportation problems and agent-based modeling, presents the framework of agent based modeling, notes recently used examples applied to transportation, and discusses limitations. The intent of this paper is to explore a new avenue for the direction of modeling and analysis of increasingly complex transportation systems.

WHY ARE LAWYERS NICE OR NASTY? INSIGHTS FROM AGENT-BASED MODELING

2010 ◽  
Vol 13 (04) ◽  
pp. 535-558
Author(s):  
EUNATE MAYOR ◽  
GIOVANNI SARTOR
Keyword(s):  
Legal System ◽  
Agent Based Modeling ◽  
Point Of View ◽  
Medical Liability ◽  
Empirical Literature ◽  
Agent Based ◽  
Novel Approach ◽  
Dynamic View ◽  
Litigation Process ◽  
Procedural Costs

All substantive areas of law, with no exception, have a common concern for the processes by which legal disputes get resolved. Naturally, the success of any particular litigation strategy in a legal dispute depends on several factors, such as procedural costs, the judges' accuracy and, most importantly, the litigation strategy followed by the counterpart. Previous work within the legal scholarship has focused on the outcomes of the litigation process and their concordance with the merits of the claims presented by the parties. In contrast, in this paper, we adopt a dynamic view of the legal system as a whole. In order to do this, we propose an evolutionary point of view. That is, we assume that the most successful litigation strategies at a certain time are more likely to be followed in the future, so the prevalence of different strategies in the system will generally change over time. Importantly, this change in the frequency of litigation strategies in the legal system will, in turn, affect the relative success of each litigation strategy, thus creating a double feedback loop between prevalence and success of litigation strategies, which we aim to explore. Furthermore, we will compare the results drawn from our model with the ones proposed by the empirical literature on the topic. Thus, the main purpose of this paper is to offer a novel approach to study legal disputes, looking at the whole litigation system as a single entity that evolves through time. In particular, we focus on cases of medical liability, and use agent-based simulation to provide a dynamic view of how various factors affect the type of litigation strategies that are successful and prevail in a certain judicial context.

Collaborative Progress in Citation Networks

2015 ◽  
pp. 40-54
Author(s):  
Rogier De Langhe
Keyword(s):  
Research Program ◽  
Scientific Progress ◽  
Agent Based Modeling ◽  
Citation Networks ◽  
Citation Data ◽  
Agent Based ◽  
Novel Approach ◽  
Systematic Exploration ◽  
Recent Developments ◽  
Paper Citation

Philosophical theories of scientific progress are typically disconnected from citation data because a citation to a paper does not necessarily justify the content of the cited paper. Citation data can however be used to test whether scientific contributions coevolve and as such discriminate indirectly between the two main theories of scientific progress: cumulative and non-cumulative progress. This chapter presents this novel approach. First, agent-based models are used to discover essential differences between both patterns of progress. The systematic exploration they allow of their respective entailments reveals four conflicting empirical predictions. These could in principle be tested against citation data, thus operationalizing two important philosophical conceptions of progress. The proposed approach relies heavily on two recent developments, the use of agent-based modeling in philosophy and the availability of vast citation datasets. The research program it suggests offers a unique opportunity to bridge the gap between descriptions of science and explanations of why it is successful.

A Language for Agent-based Discrete-event Modeling and Simulation of Linked Lives

2022 ◽  
Vol 32 (1) ◽  
pp. 1-26
Author(s):  
Oliver Reinhardt ◽  
Tom Warnke ◽  
Adelinde M. Uhrmacher
Keyword(s):  
Modeling And Simulation ◽  
Discrete Event ◽  
Agent Based Modeling ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Domain Specific ◽  
Event Modeling ◽  
Linked Lives ◽  
External Domain ◽  
Concrete Language

In agent-based modeling and simulation, discrete-time methods prevail. While there is a need to cover the agents’ dynamics in continuous time, commonly used agent-based modeling frameworks offer little support for discrete-event simulation. Here, we present a formal syntax and semantics of the language ML3 (Modeling Language for Linked Lives) for modeling and simulating multi-agent systems as discrete-event systems. The language focuses on applications in demography, such as migration processes, and considers this discipline’s specific requirements. These include the importance of life courses being linked and the age-dependency of activities and events. The developed abstract syntax of the language combines the metaphor of agents with guarded commands. Its semantics is defined in terms of Generalized Semi-Markov Processes. The concrete language has been realized as an external domain-specific language. We discuss implications for efficient simulation algorithms and elucidate benefits of formally defining domain-specific languages for modeling and simulation.

Sign in / Sign up

Export Citation Format

Share Document