scholarly journals Process models for agent-based development

2005 ◽  
Vol 18 (2) ◽  
pp. 205-222 ◽  
Author(s):  
Luca Cernuzzi ◽  
Massimo Cossentino ◽  
Franco Zambonelli
Keyword(s):  
Process Models ◽  
Agent Based

An Agent Based Optimization Approach to Manufacturing Process Planning

2001 ◽  
Author(s):  
Saurabh Deshpande ◽  
Jonathan Cagan
Keyword(s):  
Stochastic Optimization ◽  
Process Planning ◽  
Manufacturing Process ◽  
Optimization Problems ◽  
Search Space ◽  
Optimization Techniques ◽  
Process Models ◽  
Optimization Approach ◽  
Agent Based ◽  
Manufacturing Process Planning

Abstract Many optimization problems, such as manufacturing process planning optimization, are difficult problems due to the large number of potential configurations (process sequences) and associated (process) parameters. In addition, the search space is highly discontinuous and multi-modal. This paper introduces an agent based optimization algorithm that combines stochastic optimization techniques with knowledge based search. The motivation is that such a merging takes advantage of the benefits of stochastic optimization and accelerates the search process using domain knowledge. The result of applying this algorithm to computerized manufacturing process models is presented.

Definition of Process Models for Agent-Based Development

2009 ◽  
pp. 60-73 ◽  
Author(s):  
Iván García-Magariño ◽  
Alma Gómez-Rodríguez ◽  
Juan C. González-Moreno
Keyword(s):  
Process Models ◽  
Agent Based ◽  
Definition Of

scholarly journals PHYSICISTS ATTEMPT TO SCALE THE IVORY TOWERS OF FINANCE

2000 ◽  
Vol 03 (03) ◽  
pp. 311-333 ◽  
Author(s):  
J. DOYNE FARMER
Keyword(s):  
Random Process ◽  
Agent Based Modeling ◽  
Statistical Properties ◽  
Process Models ◽  
Price Dynamics ◽  
Agent Based ◽  
Practical Applications

Physicists have recently begun doing research in finance, and even though this movement is less than five years old, interesting and useful contributions have already emerged. This article reviews these developments in four areas, including empirical statistical properties of prices, random-process models for price dynamics, agent-based modeling, and practical applications.

Activeprocess: A Process-Driven and Agent-Based Approach to Supporting Collaborative Engineering

1999 ◽  
Author(s):  
Yan Jin ◽  
Li Zhao ◽  
Arun Raghunath
Keyword(s):  
Process Model ◽  
New Technologies ◽  
Team Work ◽  
Process Models ◽  
Prototype System ◽  
Collaborative Engineering ◽  
Agent Based ◽  
Engineering Team ◽  
High Level ◽  
Support Engineering

Abstract Collaborative engineering involves multiple engineers and managers working together to develop engineering products. As engineering problems become more and more complex, such as the development of a modern automobile, new technologies are demanded to maintain both effectiveness and efficiency of collaborative engineering. While process models and technologies have been developed to support engineering team work, most of the support remains at project management level. Our research proposes a process-driven and agent-based framework, called ActivePROCESS, to support collaborative engineering. ActivePROCESS is composed of a process model APM that captures both high level and low level activity dependencies, and an agent network that monitors process execution and facilitates coordination among engineers. One important feature of this framework is that the agents can capture emergent dependencies between activities dynamically and provides guidance for coordination by managing and applying the dependencies. In this paper, we first present our process-driven approach to collaborative engineering, and then describe the process model APM and the ActivePROCESS prototype system being developed. We will also describe a case example and discuss several issues experienced from the case study.

Modelling of Water Use Decisions in a Large, Spacially Explicit, Coupled Simulation System

2008 ◽  
pp. 138-149 ◽  
Author(s):  
Andreas Ernst ◽  
Carsten Schulz ◽  
Nina Schwarz
Keyword(s):  
Water Use ◽  
Large Scale ◽  
Western Europe ◽  
Groundwater Resources ◽  
Process Models ◽  
Danube Basin ◽  
Agent Based ◽  
Temporal Concepts ◽  
The Social ◽  
Basic Concepts

This chapter presents the purpose, the basic concepts, the implementation, and a scenario run of the agent-based part of a large Decision Support System for the water resources management of the Upper Danube basin, Western Europe. 16 process models from 11 disciplines from the natural and the social sciences are integrated in the system. They use common spatial and temporal concepts to communicate with each other at run time. A variety of agents based on large scale empirical evidence serves to model the drinking water use of households. An example scenario run under global warming conditions shows the interplay between modelled water supply companies, households, climate, and groundwater resources.

An Agent Based Optimization Approach to Manufacturing Process Planning

2004 ◽  
Vol 126 (1) ◽  
pp. 46-55 ◽  
Author(s):  
Saurabh Deshpande ◽  
Jonathan Cagan
Keyword(s):  
Stochastic Optimization ◽  
Process Planning ◽  
Manufacturing Process ◽  
Optimization Problems ◽  
Search Space ◽  
Optimization Techniques ◽  
Process Models ◽  
Optimization Approach ◽  
Agent Based ◽  
Manufacturing Process Planning

Many optimization problems, such as manufacturing process planning optimization, are difficult problems due to the large number of potential configurations (process sequences) and associated (process) parameters. In addition, the search space is highly discontinuous and multi-modal. This paper introduces an agent based optimization algorithm that combines stochastic optimization techniques with knowledge based search. The motivation is that such a merging takes advantage of the benefits of stochastic optimization and accelerates the search process using domain knowledge. The result of applying this algorithm to computerized manufacturing process models is presented.

Agent-Based Integrated and Collaborative Engineering Asset Management

2008 ◽  
Vol 594 ◽  
pp. 481-493 ◽  
Author(s):  
David W. Hsiao ◽  
Amy J.C. Trappey ◽  
Lin Ma ◽  
Yat Chih Fan ◽  
Yen Chieh Mao
Keyword(s):  
Asset Management ◽  
State Of The Art ◽  
Process Models ◽  
Resource Manager ◽  
Agent Based ◽  
Collaborative Environment ◽  
Renewal Time ◽  
Architectural Framework ◽  
Automatic Parking ◽  
Multi Agent

Engineering assets are fundamentally important to enterprises. Thus, making the best use of engineering assets attracts equipment and system engineers’ attention. The state-of-the-art researches contribute to asset condition monitoring, asset symptom diagnosis, asset health prognosis, and the integration of above knowledge. However, they still lack the combination with enterprise resources to determine the best maintenance/renewal time for the optimization of total enterprise benefits. Consequently, this paper proposes the integrated architectural framework, activity and process models of a multi-agent system called agent-based integrated engineering asset management (AIEAM) based on agent techniques to build collaborative environment for asset manager, diagnosis expert, prognosis expert and enterprise resource manager. An engineering asset management case (for repair and maintenance of automatic parking tower) applying the proposed architecture and models is depicted in the paper.

scholarly journals Two Distinct Dynamic Process Models of COVID-19 Spread with Divergent Vaccination Outcomes

2021 ◽  
Author(s):  
Ernie Chang ◽  
Kenneth Andrew Moselle
Keyword(s):  
Disease Modeling ◽  
Viral Transmission ◽  
Process Models ◽  
Mass Action ◽  
Causal Factors ◽  
Agent Based ◽  
Infection Dynamics ◽  
Kinematic Models ◽  
Spread Of Infection ◽  
Infectious Disease Modeling

Kinematic models of contagion-based viral transmission describe patterns of events over time (e.g., new infections), relying typically on systems of differential equations to reproduce those patterns. By contrast, agent-based models of viral transmission seek to relate those events or patterns of events to causes, expressed in terms of factors (parameters) that determine the dynamics that give rise to those events. This paper is concerned with the dynamics of contagion-based spread of infection. Dynamics that reflect time homogeneous vs inhomogeneous transmission rates are generated via an agent-based infectious disease modeling tool (CovidSIMVL - github.com/ecsendmail/MultiverseContagion). These different dynamics are treated as causal factors and are related to differences in vaccine efficacy in an array of simulated vaccination trials. Visualizations of simulated trials and associated metrics illustrate graphically some cogent reasons for not effectively hard-coding assumptions of dynamic temporal homogeneity, which come 'pre-packaged' with the mass action incidence assumption that underpins typical equation-based models of infection spread.

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