FORBEEF: A forage-livestock system computer model used as a teaching aid for decision making

1987 ◽  
Vol 16 (2) ◽  
pp. 85-87
Author(s):  
W. C. Stringer ◽  
N. S. Hill ◽  
B. W. Pinkerton
Animals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 2548
Author(s):  
Elena Velado-Alonso ◽  
Antonio Gómez-Sal ◽  
Alberto Bernués ◽  
Daniel Martín-Collado

There is an increasing interest in assessing livestock breed contributions to ecosystem services (ES) and including this knowledge in decision making. However, this task has been limited due to the complexity of the multidimensional relationship between livestock diversity and ecosystem services. In this work, we elaborate on the livestock breed characteristics central to developing a comprehensive approach to livestock breed inclusion in the ecosystem services framework. Thus, we explore the multidimensional nature of livestock breeds, i.e., as eco-cultural entities, biodiversity components, and drivers of livestock system heterogeneity and functioning. First, anthropogenic and natural factors have acted jointly to develop breeds as eco-cultural entities. This fact represents an opportunity to move toward farming system sustainability by Nature-Based Solutions and Nature’s Contribution to People paradigms. Second, livestock breeds are components of biodiversity, and as such, can be framed as goods, as final ecosystem services, and as regulators of ecosystem processes. Third, livestock breeds contribute to livestock system heterogeneity and resilience. By integrating these aspects, we might better understand how livestock breeds provide and modulate ecosystem service provision and, therefore, how to improve breed conservation and livestock policies toward farming system sustainability.


The work is devoted to the review and analysis of resources of scientific information, the study of the possibilities of developing additional information arrays based on existing sources of scientific and scientometric information. As part of the work, approaches are proposed for storing scientometric information, methods for obtaining data, which will optimize the time of working with information and attract less resources for the implementation of work on the search for scientific information and its subsequent processing. The result of the work is a computer model that provides the ability to store scientific information in the database, as well as the use of various functions as a database administrator and user rights through the developed client C ++. The offered model of accounting for scientific activity has the following functional capabilities of software modules: introduction of new and removal of outdated information into a database; submitting information based on some criteria. The architecture of a computer model consists of such software modules as the user role definition module, the database administrator module, and the user module. The model works with information arrays, which are formed on the basis of resources and contain bibliometric and scientometric information and can act as parameters that be able to influence decision making and expand the range of possible cooperation of scientists. The application of the developed computer model allows organizing a flexible search for scientific information in the field of education.


2022 ◽  
Vol 464 ◽  
pp. 109799
Author(s):  
Frédéric Joly ◽  
Rodolphe Sabatier ◽  
Laurent Tatin ◽  
Claire Mosnier ◽  
Ariell Ahearn ◽  
...  

Author(s):  
O. N. Romashkova ◽  
◽  
F. O. Fedin ◽  
T. N. Ermakova ◽  
◽  
...  

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Mark W. Sellers ◽  
Hiroki Sayama ◽  
Andreas D. Pape

Brian Arthur’s El Farol bar model of bounded rationality provides a simple computer model of decision making in a complex, dynamic, and self-organized environment. Can systems thinking provide a viable alternative strategy to traditional methods for dealing with these types of problems? Nine different agents, designed from both traditional and systems perspectives, compete in fifteen variants of the El Farol environment and their performance in 4 categories—Winner, Top Performers, Competitive, and Vulnerable—is compared. We show that systems thinking is a competitive strategy that is, at least, on par with traditional strategies and may be less vulnerable to elimination or ruin. However, there are two consequential elements that emerge. First, all strategies have some environments where they succeed and others where they fail. Second, as the population of practitioners adopts these adaptive, systems-based strategies, the environment exhibits new behaviors with a new set of unintended consequences.


The work is devoted to the review and analysis of resources of scientific information, the study of the possibilities of developing additional information arrays based on existing sources of scientific and scientometric information. As part of the work, approaches are proposed for storing scientometric information, methods for obtaining data, which will optimize the time of working with information and attract less resources for the implementation of work on the search for scientific information and its subsequent processing. The result of the work is a computer model that provides the ability to store scientific information in the database, as well as the use of various functions as a database administrator and user rights through the developed client C ++. The offered model of accounting for scientific activity has the following functional capabilities of software modules: introduction of new and removal of outdated information into a database; submitting information based on some criteria. The architecture of a computer model consists of such software modules as the user role definition module, the database administrator module, and the user module. The model works with information arrays, which are formed on the basis of resources and contain bibliometric and scientometric information and can act as parameters that be able to influence decision making and expand the range of possible cooperation of scientists. The application of the developed computer model allows organizing a flexible search for scientific information in the field of education.


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