Implementing Heterogeneous Agents in Dynamic Environments, a Case Study in RoboCupRescue

2003 ◽  
pp. 95-104 ◽  
Author(s):  
Jafar Habibi ◽  
Mazda Ahmadi ◽  
Ali Nouri ◽  
Mayssam Sayyadian ◽  
Mayssam M. Nevisi
Keyword(s):  
Heterogeneous Agents ◽  
Dynamic Environments

scholarly journals A Predictive Environmental Assessment Method for Construction Operations: Application to a Northeast China Case Study

2018 ◽  
Vol 10 (11) ◽  
pp. 3868 ◽  
Author(s):  
Kailun Feng ◽  
Weizhuo Lu ◽  
Thomas Olofsson ◽  
Shiwei Chen ◽  
Hui Yan ◽  
...  
Keyword(s):  
Global Warming ◽  
Environmental Impacts ◽  
Environmental Assessment ◽  
Northeast China ◽  
Dynamic Environments ◽  
Assessment Method ◽  
Process Information ◽  
Construction Operations ◽  
Impact Reduction

Construction accounts for a considerable number of environmental impacts, especially in countries with rapid urbanization. A predictive environmental assessment method enables a comparison of alternatives in construction operations to mitigate these environmental impacts. Process-based life cycle assessment (pLCA), which is the most widely applied environmental assessment method, requires lots of detailed process information to evaluate. However, a construction project usually operates in uncertain and dynamic project environments, and capturing such process information represents a critical challenge for pLCA. Discrete event simulation (DES) provides an opportunity to include uncertainty and capture the dynamic environments of construction operations. This study proposes a predictive assessment method that integrates DES and pLCA (DES-pLCA) to evaluate the environmental impact of on-site construction operations and supply chains. The DES feeds pLCA with process information that considers the uncertain and dynamic environments of construction, while pLCA guides the comprehensive procedure of environmental assessment. A DES-pLCA prototype was developed and implemented in a case study of an 18-storey building in Northeast China. The results showed that the biggest impact variations on the global warming potential (GWP), acidification potential (AP), eutrophication (EP), photochemical ozone creation potential (POCP), abiotic depletion potential (ADP), and human toxicity potential (HTP) were 5.1%, 4.1%, 4.1%, 4.7%, 0.3%, and 5.9%, respectively, due to uncertain and dynamic factors. Based on the proposed method, an average impact reduction can be achieved for these six indictors of 2.5%, 21.7%, 8.2%, 4.8%, 32.5%, and 0.9%, respectively. The method also revealed that the material wastage rate of formwork installation was the most crucial managing factor that influences global warming performance. The method can support contractors in the development and management of environmentally friendly construction operations that consider the effects of uncertainty and dynamics.

scholarly journals A Software Tool for Assisting Experimentation in Dynamic Environments

2015 ◽  
Vol 2015 ◽  
pp. 1-12
Author(s):  
Pavel Novoa-Hernández ◽  
Carlos Cruz Corona ◽  
David A. Pelta
Keyword(s):  
Statistical Analysis ◽  
User Interface ◽  
Graphical User Interface ◽  
Optimization Problems ◽  
Software Tool ◽  
Dynamic Environments ◽  
Experiment Management ◽  
And Performance ◽  
Main Components

In real world, many optimization problems are dynamic, which means that their model elements vary with time. These problems have received increasing attention over time, especially from the viewpoint of metaheuristics methods. In this context, experimentation is a crucial task because of the stochastic nature of both algorithms and problems. Currently, there are several technologies whose methods, problems, and performance measures can be implemented. However, in most of them, certain features that make the experimentation process easy are not present. Examples of such features are the statistical analysis of the results and a graphical user interface (GUI) that allows an easy management of the experimentation process. Bearing in mind these limitations, in the present work, we present DynOptLab, a software tool for experimental analysis in dynamic environments. DynOptLab has two main components: (1) an object-oriented framework to facilitate the implementation of new proposals and (2) a graphical user interface for the experiment management and the statistical analysis of the results. With the aim of verifying the benefits of DynOptLab’s main features, a typical case study on experimentation in dynamic environments was carried out.

scholarly journals Computational Logic Foundations of KGP Agents

2008 ◽  
Vol 33 ◽  
pp. 285-348 ◽  
Author(s):  
A. Kakas ◽  
P. Mancarella ◽  
F. Sadri ◽  
K. Stathis ◽  
F. Toni
Keyword(s):  
Heterogeneous Agents ◽  
Dynamic Environments ◽  
Computational Logic ◽  
Agent Architecture ◽  
Selection Operators ◽  
Dynamic Context

This paper presents the computational logic foundations of a model of agency called the KGP (Knowledge, Goals and Plan model. This model allows the specification of heterogeneous agents that can interact with each other, and can exhibit both proactive and reactive behaviour allowing them to function in dynamic environments by adjusting their goals and plans when changes happen in such environments. KGP provides a highly modular agent architecture that integrates a collection of reasoning and physical capabilities, synthesised within transitions that update the agent's state in response to reasoning, sensing and acting. Transitions are orchestrated by cycle theories that specify the order in which transitions are executed while taking into account the dynamic context and agent preferences, as well as selection operators for providing inputs to transitions.

Stream Dynamics at Pipeline River Crossings

1996 ◽  
Author(s):  
Gary R. E. Beckstead ◽  
Drum S. Cavers
Keyword(s):  
Case Studies ◽  
Dynamic Environments ◽  
Alluvial Fans ◽  
Stream Channel ◽  
Site Specific ◽  
Meandering Streams ◽  
Historical Aerial Photography ◽  
Final Design ◽  
Beaver Dams

Pipeline crossings of streams, whether large or small, must consider the ability of the stream channel to scour its bed and erode its banks. Case studies are presented to illustrate the kinds of dynamic environments which must be considered in designing pipeline stream crossings. These characteristics may be determined through the use of comparative historical aerial photography and site photographs and surveys. The case studies presented as examples in this paper include gullies, bedrock-lined channels, entrenched meandering streams, multi-channel wandering streams, degrading channels, alluvial fans, and major channels affected by regulation and man-made structures. Natural hazards such as debris jams and beaver dams are also discussed. For each case study, the characteristics of the channels are described, the design approach discussed and site-specific constraints presented which affected the final design.

scholarly journals A modified Ant Colony Optimization algorithm to solve a dynamic traveling salesman problem: A case study with drones for wildlife surveillance

2018 ◽  
Vol 6 (3) ◽  
pp. 368-386 ◽  
Author(s):  
Sudipta Chowdhury ◽  
Mohammad Marufuzzaman ◽  
Huseyin Tunc ◽  
Linkan Bian ◽  
William Bullington
Keyword(s):  
Ant Colony Optimization ◽  
Traveling Salesman Problem ◽  
Real Life ◽  
Dynamic Environments ◽  
Traveling Salesman ◽  
Ant Colony ◽  
Neighborhood Search ◽  
Ant Colony Optimization Algorithm ◽  
Pheromone Trails

Abstract This study presents a novel Ant Colony Optimization (ACO) framework to solve a dynamic traveling salesman problem. To maintain diversity via transferring knowledge to the pheromone trails from previous environments, Adaptive Large Neighborhood Search (ALNS) based immigrant schemes have been developed and compared with existing ACO-based immigrant schemes available in the literature. Numerical results indicate that the proposed immigrant schemes can handle dynamic environments efficiently compared to other immigrant-based ACOs. Finally, a real life case study for wildlife surveillance (specifically, deer) by drones has been developed and solved using the proposed algorithm. Results indicate that the drone service capabilities can be significantly impacted when the dynamicity of deer are taken into consideration. Highlights Proposed a novel ACO-ALNS based metaheuristic. Four variants of the proposed metaheuristic is developed to investigate the efficiency of each of them. A real life case study mirroring the behavior of DTSP is developed.

scholarly journals To Uncertainty and Beyond: Identifying the Capabilities Needed by Hospitals to Function in Dynamic Environments

2021 ◽  
pp. 107755872110574
Author(s):  
Rachel Gifford ◽  
Bram Fleuren ◽  
Frank van de Baan ◽  
Dirk Ruwaard ◽  
Lieze Poesen ◽  
...  
Keyword(s):  
Human Resources ◽  
Dynamic Environments ◽  
Uncertain Environments ◽  
Material Resources ◽  
The Core ◽  
Dynamic Uncertainty ◽  
The Face ◽  
Multiple Case ◽  
Core Capabilities

Hospitals operate in increasingly complex and dynamically uncertain environments. To understand how hospital organizations can cope with such profound uncertainty, this article presents a multiple case study of five hospitals during the COVID-19 crisis in a heavily hit region of the Netherlands. We find that hospitals make adaptations in five key categories, namely: reorganization, decision-making, human resources, material resources, and planning. These adaptations offer insights into the core capabilities needed by hospitals to cope with dynamic uncertainty. Our findings highlight the need for hospitals to become more flexible without sacrificing efficiency. Organizations can accomplish this by building in more sensing and seizing capabilities to be better prepared for and respond to environmental change. Furthermore, transforming capabilities allow organizations to be more resilient and responsive in the face of ongoing uncertainty. We make recommendations on how hospitals can build these capabilities and address the core challenges they face in this pursuit.

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