AppBuilder for DSSTools: an application development environment for developing decision support systems in Prolog

Kim, Geneho; Nute, Donald; Rauscher, H. Michael; Loftis, David L.

doi:10.1016/s0168-1699(00)00101-0

Cited by 17 publications

(9 citation statements)

References 4 publications

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“…Maturana established a DSSG based on optimization, including model definition, database creation, data window creation, report form establishment, main menu creation, and so on [9]; Kim researched a IDE of DSS based on Prolog [10].…”

Section: State Of the Fieldmentioning

confidence: 99%

The architecture design of decision support system generator based on component technology

Liang

Jia²

2011

2011 International Conference on E-Business and E-Government (ICEE)

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This paper makes a comprehensive analysis on the state of the field of DSSG. On this basis, it brings forward the design framework of DSSG based on component technology, and makes further research on the component-based design ideas, including design of method base based on MATLAB, design of model base based on recommend technology, design of knowledge base based on data mining, and design of humancomputer interaction based on Flex. At last, it elaborates the establishment of technical system of DSSG.

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Section: State Of the Fieldmentioning

confidence: 99%

The architecture design of decision support system generator based on component technology

Liang

Jia²

2011

2011 International Conference on E-Business and E-Government (ICEE)

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“…It exists in the whole system as an autonomous independent object. Multi-agent system (MAS) have been studied for many years [9,10] , and various types of such systems have been developed. MAS is the emerging subfield of AI that aims to provide both principles for construction of complex systems involving multiple agents and mechanisms for coordination of independent agents' behaviors.…”

Section: Intelligent Agent and Masmentioning

confidence: 99%

Application of Multi-agent for Travel Management Decision Support System

2009

2009 International Forum on Information Technology and Applications

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This paper proposes a multi-agent framework for travel management decision support system that targets improved decision making, parallels human problem solving processes, and supports the major phases of decision making. A multi-agent system is a loosely coupled network of agents that work together to solve problems that are beyond the individual capabilities and knowledge of each agent. In travel management decision support system, agents are organized by their roles according to different phases of problem solving. They interact with the user, the environment, and each other, to improve the decision making process. Visual Prolog is used as our design language. The main advantage of using Visual Prolog is the flexibility Prolog rules provide in extending the functionality of agents.

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“…For example, in the southern Appalachian Mountain region in the USA, the ability to forecast established overstorey forest conditions over a 30-50 year time frame is quite good (Rauscher et a]., 2000). We are beginning to be able to understand and predict tree seedling regeneration following a stand-replacement disturbance (Kim et al, 2000). However, we do not understand, nor can we predict, understorey tree and other woody species' dynamics in the presence of a significant overstorey canopy.…”

Section: Lnterrelationshipsmentioning

confidence: 99%

Information and knowledge management for sustainable forestry.

Thomson

Rauscher²,

Schmoldt³

et al. 2007

Sustainable Forestry: From Monitoring and Modelling to Knowledge Management and Policy Science

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Institutional information and knowledge management often involves a range of systems and technologies to aid decisions and produce reports. Construction of a knowledge system organizing hierarchy facilitates exploration of the interrelationships among knowledge management, inventory and monitoring, statistics and modelling, and policy. Two case studies illustrate these interrelationships in institutional settings: (i) the FA0 National Forest Assessment process; and (ii) knowledge management in supply chains. The development and adoption of knowledge management systems in institutions can be improved by considering the principles and studies generated by the social sciences, e.g. innovation diffusion, escalation of commitment and agency theory. Still, many of these principles and practices -as they relate to sustainability -have evolved primarily in the context of the developed world. Broader, more inclusive perspectives are needed as we mesh traditional ,_Western thinking with the insights, cultures, practices and limitations of the developing world.

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AppBuilder for DSSTools: an application development environment for developing decision support systems in Prolog

Cited by 17 publications

References 4 publications

The architecture design of decision support system generator based on component technology

The architecture design of decision support system generator based on component technology

Application of Multi-agent for Travel Management Decision Support System

Information and knowledge management for sustainable forestry.

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