scholarly journals Providing a Broad Spectrum of Agents in Spatially Explicit Simulation Models: The Gensim Approach

2002 ◽  
Author(s):  
John Anderson
Keyword(s):  
Resource Management ◽  
Computer Technology ◽  
Simulation Models ◽  
Real System ◽  
Iterative Development ◽  
Modeling Process ◽  
Resource Managers ◽  
Complex Models ◽  
Patterns And Processes ◽  
Changes Over Time

Research in natural resource management may be characterized as a search for an understanding of patterns and processes relating to a particular resource. Modeling is a crucial tool to these efforts: resource scientists use such models to help them conceptualize, understand, test, predict, or assess various aspects of the resource being studied. One central function, however, underlies all of these uses: a model simulates the way in which a real system would behave under conditions of interest to the user, and illustrates changes over time. Such a model may be used to determine the consequences of particular situations, leaving judgment of the attractiveness of those consequences to the user. Particularly in the case of complex ecosystems, such a model may also serve to clarify interactions and contribute to a deeper understanding of ecological phenomena. In recent years, computer-based models have become the most significant tool of resource managers, for two reasons. First, any model must accurately portray the real system it represents if research based on the model is to have any reliability. The use of computer technology has greatly increased the extent and the detail to which ecosystems can be modeled, and thus the accuracy of these models. The other reason for the extensive use of computer models is the flexibility that the computer as a tool brings to the modeling process. Many ecosystems are poorly understood, and complex models for such poorly understood systems are almost never completed. Rather, modeling such a system is an iterative process, with a partial understanding generating new hypotheses, which in turn generate changes to the model based on further research. Computer technology brings flexibility and ease of modification to the modeling process, naturally supporting this iterative development. In addition, as the alternatives available in resolving resource management problems become increasingly expensive, and the resources themselves become increasingly scarce and valuable, such models become vital tools not only in the direct management of resources, but in the control of expenses associated with resource management as well.

scholarly journals Human Resource Management and Business Adaptability and Adjustability in Business Development

2017 ◽  
Vol 3 (2) ◽  
pp. 213
Author(s):  
Fanny YF Young
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Business Development ◽  
The Internet ◽  
Human Resource Managers ◽  
Continuity Planning ◽  
Human Resource Department ◽  
Resource Managers ◽  
Business Resilience

Business adaptability and adjustability is highly important for the business development. It was suggested human resource managers and executives could pay an important contribution to this area. The aim of this study was to search the literature to see how the human resource managers and executives can improve the business adaptability and change of the companies. The internet was searched using various search engines like Google Scholars, Proquest and Google using keywords like human resource management, business adaptability and adjustability and business resilience. All selected papers were individually studied and any relevant materials were identified. Result showed that there were roles of human resource managers and executives in building business adaptability and adjustability such as acting as strategic partners, employee sponsors or advocates, change mentors and there were contributions which include transition the human resource department to a profitability factor; making profit to the company and engaging in people-focused approach to business continuity planning for crisis.

Epistemological Aspects of Simulation Models for Decision Support

2013 ◽  
Vol 5 (2) ◽  
pp. 55-77 ◽  
Author(s):  
Anthony H. Dekker
Keyword(s):  
Coupled Oscillators ◽  
True Belief ◽  
Simulation Models ◽  
Decision Makers ◽  
Kuramoto Model ◽  
Model Parameters ◽  
Theoretical Construct ◽  
Formal Definitions ◽  
Complex Models ◽  
The Kuramoto Model

In this paper, the author explores epistemological aspects of simulation with a particular focus on using simulations to provide recommendations to managers and other decision-makers. The author presents formal definitions of knowledge (as justified true belief) and of simulation. The author shows that a simple model, the Kuramoto model of coupled-oscillators, satisfies the simulation definition (and therefore generates knowledge) through a justified mapping from the real world. The author argues that, for more complex models, such a justified mapping requires three techniques: using an appropriate and justified theoretical construct; using appropriate and justified values for model parameters; and testing or other verification processes to ensure that the mapping is correctly defined. The author illustrates these three techniques with experiments and models from the literature, including the Long House Valley model of Axtell et al., the SAFTE model of sleep, and the Segregation model of Wilensky.

scholarly journals Revisiting Resource Management for Deep Learning Framework

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 327
Author(s):  
Erci Xu ◽  
Shanshan Li
Keyword(s):  
Deep Learning ◽  
Resource Management ◽  
General Purpose ◽  
Resource Assignment ◽  
Data Intensive ◽  
Learning Framework ◽  
Network Layers ◽  
Resource Managers ◽  
Input Dataset ◽  
Efficient Resource

The recent adoption of deep learning for diverse applications has required infrastructures to be scaled horizontally and hybrid configured vertically. As a result, efficient resource management for distributed deep learning (DDL) frameworks is becoming increasingly important. However, existing techniques for scaling DDL applications rely on general-purpose resource managers originally designed for data intensive applications. In contrast, DDL applications present unique challenges for resource management as compared to traditional big data frameworks, such as a different master–slave communication paradigm, deeper ML models that are more computationally and network bounded than I/O, the use of heterogeneous resources (e.g., GPUs, TPUs) and the variable memory requirement. In addition, most DDL frameworks require data scientists to manually configure the task placement and resource assignment to execute DDL models. In this paper, we present Dike, an automatic resource management framework that transparently makes scheduling decisions for placement and resource assignment to DDL workers and parameter servers, based on the unique characteristics of the DDL model (number and type of parameters and neural network layers), node heterogeneity (CPU/GPU ratios), and input dataset. We implemented Dike as a resource manager for DDL jobs in Tensorflow on top of Apache Mesos. We show that Dike significantly outperformed both manual and static assignment of resource offers to Tensorflow tasks, and achieved at least 95% of the optimal throughput for different DDL models such as ResNet and Inception.

scholarly journals Water–Energy–Food Nexus Simulation: An Optimization Approach for Resource Security

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 667 ◽  
Author(s):  
Albert Wicaksono ◽  
Gimoon Jeong ◽  
Doosun Kang
Keyword(s):  
Resource Management ◽  
Simulation Models ◽  
Decision Support Tool ◽  
Limited Resources ◽  
Optimization Approach ◽  
Support Tool ◽  
Sustainable Resource Management ◽  
Novel Approach ◽  
Management Plans ◽  
Optimal Resource

The water–energy–food nexus (WEF nexus) concept is a novel approach to manage limited resources. Since 2011, a number of studies were conducted to develop computer simulation models quantifying the interlinkage among water, energy, and food sectors. Advancing a nationwide WEF nexus simulation model (WEFSiM) previously developed by the authors, this study proposes an optimization module (WEFSiM-opt) to assist stakeholders in making informed decisions concerning sustainable resource management. Both single- and multi-objective optimization modules were developed to maximize the user reliability index (URI) for water, energy, and food sectors by optimizing the priority index and water allocation decisions. In this study, the developed models were implemented in Korea to determine optimal resource allocation and management decisions under a plausible drought scenario. This study suggests that the optimization approach can advance WEF nexus simulation and provide better solutions for managing limited resources. It is anticipated that the proposed WEFSiM-opt can be utilized as a decision support tool for designing resource management plans.

A multiple-criteria approach to human resource management assessment in organizations with respect to industry

Kybernetes ◽  
2017 ◽  
Vol 46 (3) ◽  
pp. 419-432 ◽  
Author(s):  
Vesna Čančer ◽  
Simona Šarotar Žižek
Keyword(s):  
Factor Analysis ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Human Resource Managers ◽  
Holistic Model ◽  
Content Type ◽  
Resource Managers

Purpose This paper aims to develop a multiple-criteria model for the assessment of human resource management (HRM), focusing on groups of organizations with respect to industry. Design/methodology/approach The approach presented in this paper follows the framework procedure for multiple-criteria decision-making based on the Quantified Dialectical Systems Theory. It considers the factor analysis results in structuring the problem. By considering several experts’ judgments already when measuring the importance of criteria, it enables respondents to omit those sets of criteria for which they are neither experts nor responsible. Findings The paper shows that the factor analysis results can also be used in structuring the multi-dimensional concept in multiple-criteria model for assessing HRM – a step forward to multi-methodology. The obtained aggregate values show human resource managers the key success and failure factors to adopt an integrated/requisitely holistic and innovated strategy related to HRM in organizations. Research limitations/implications The approach presented in this paper helps managers in developing and implementing a requisitely holistic model of HRM, adapted to several groups of organizations, such as with respect to their industry, in any country. Practical implications This paper provides recommendations for HRM in organizations. Originality/value This paper fills the gap in the research on multiple-criteria HRM assessment in organizations with respect to their industry by developing a multiple-criteria model for the assessment of HRM in groups of organizations, with application based on their industries.

Institutional Networks for Inclusive Coastal Management in Trinidad and Tobago

2002 ◽  
Vol 34 (6) ◽  
pp. 1095-1111 ◽  
Author(s):  
Emma Tompkins ◽  
W Neil Adger ◽  
Katrina Brown
Keyword(s):  
Resource Management ◽  
Trinidad And Tobago ◽  
Coastal Zone Management ◽  
Social Institutions ◽  
Zone Management ◽  
Resource Managers ◽  
Participatory Workshop ◽  
The Social ◽  
Semistructured Interviews

The authors consider the role of institutional networks in integrated and inclusive coastal-zone management in Trinidad and Tobago. Drawing on theories of social institutions, a framework for understanding the institutional prerequisites for participatory management is developed. In this framework, distinction is made between institutions at the community, formal-organisational, and national regulatory levels and the means by which institutions adapt to and learn about new issues in terms of networks of dependence and exchange are characterised. The immediate networks between actors (their spaces of dependence) are augmented by wider networks between institutions at various scales (their spaces of exchange). This framework is applied to a case study of resource management in Trinidad and Tobago. Semistructured interviews with key government urban and economic planners, fisheries regulators, and other agents in Trinidad and Tobago, and a participatory workshop for resource managers, are used to identify the perceived opportunities and constraints relating to integrated and inclusive resource management within the social institutions. The findings are analysed through an exploration of the spaces of dependence and exchange that exist in the various social networks at the different institutional scales. The prescriptive relevance of this approach is in the demonstration of the nature of change required in social institutions at all scales to facilitate integrated and inclusive resource management.

scholarly journals A community-maintained standard library of population genetic models

2019 ◽  
Author(s):  
Jeffrey R. Adrion ◽  
Christopher B. Cole ◽  
Noah Dukler ◽  
Jared G. Galloway ◽  
Ariella L. Gladstein ◽  
...  
Keyword(s):  
Population Genetic ◽  
Genomic Data ◽  
Simulation Models ◽  
Easy Access ◽  
Major Barrier ◽  
Simulation Engine ◽  
Complex Models ◽  
Demographic Inference ◽  
Genetic Simulation ◽  
Inference Methods

AbstractThe explosion in population genomic data demands ever more complex modes of analysis, and increasingly these analyses depend on sophisticated simulations. Recent advances in population genetic simulation have made it possible to simulate large and complex models, but specifying such models for a particular simulation engine remains a difficult and error-prone task. Computational genetics researchers currently re-implement simulation models independently, leading to inconsistency and duplication of effort. This situation presents a major barrier to empirical researchers seeking to use simulations for power analyses of upcoming studies or sanity checks on existing genomic data. Population genetics, as a field, also lacks standard benchmarks by which new tools for inference might be measured. Here we describe a new resource, stdpopsim, that attempts to rectify this situation. Stdpopsim is a community-driven open source project, which provides easy access to a growing catalog of published simulation models from a range of organisms and supports multiple simulation engine backends. This resource is available as a well-documented python library with a simple command-line interface. We share some examples demonstrating how stdpopsim can be used to systematically compare demographic inference methods, and we encourage a broader community of developers to contribute to this growing resource.

scholarly journals The Importance of Belief Systems in Traditional Ecological Knowledge Initiatives

2011 ◽  
Vol 2 (4) ◽  
Author(s):  
Nicholas J Reo
Keyword(s):  
Resource Management ◽  
First Nations ◽  
Natural Resource ◽  
Traditional Ecological Knowledge ◽  
Belief Systems ◽  
Biological Data ◽  
Public Land ◽  
Ecological Knowledge ◽  
Resource Managers ◽  
Holistic Understanding

Resource managers are increasingly engaging with tribes and first nations and looking for methods to incorporate their perspectives, priorities and traditional ecological knowledge (TEK) into public land and resource management. Many initiatives that engage tribes and their TEK holders only seek tribal input, such as biological data, that is most easily integrated into existing management structures. Increasing attention on tribal belief systems would provide a more holistic understanding that could benefit TEK-related initiatives. Such a shift could reduce misunderstandings about tribal natural resource perspectives and lead to insights valuable for society at large.

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