scholarly journals Review of Artificial Intelligence Applied in Decision-Making Processes in Agricultural Public Policy

Processes ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1374
Author(s):  
Juan M. Sánchez ◽  
Juan P. Rodríguez ◽  
Helbert E. Espitia
Keyword(s):  
Artificial Intelligence ◽  
Public Policy ◽  
Decision Making ◽  
Genetic Algorithms ◽  
Agricultural Production ◽  
Public Policies ◽  
Search Process ◽  
Agent Based ◽  
The World ◽  
Decision Making Processes

The objective of this article is to review how Artificial Intelligence (AI) tools have helped the process of formulating agricultural public policies in the world. For this, a search process was carried out in the main scientific repositories finding different publications. The findings have shown that, first, the most commonly used AI tools are agent-based models, cellular automata, and genetic algorithms. Secondly, they have been utilized to determine land and water use, and agricultural production. In the end, the large usefulness that AI tools have in the process of formulating agricultural public policies is concluded.

Cultivating Trustworthy Artificial Intelligence in Digital Government

2020 ◽  
pp. 089443932098012
Author(s):  
Teresa M. Harrison ◽  
Luis Felipe Luna-Reyes
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Policy Analysis ◽  
Public Trust ◽  
Governance Structures ◽  
Cognitive Tools ◽  
Lens Model ◽  
Digital Government ◽  
Government Decision ◽  
Decision Making Processes

While there is growing consensus that the analytical and cognitive tools of artificial intelligence (AI) have the potential to transform government in positive ways, it is also clear that AI challenges traditional government decision-making processes and threatens the democratic values within which they are framed. These conditions argue for conservative approaches to AI that focus on cultivating and sustaining public trust. We use the extended Brunswik lens model as a framework to illustrate the distinctions between policy analysis and decision making as we have traditionally understood and practiced them and how they are evolving in the current AI context along with the challenges this poses for the use of trustworthy AI. We offer a set of recommendations for practices, processes, and governance structures in government to provide for trust in AI and suggest lines of research that support them.

scholarly journals Corruption and Combating Corruption: A Framework for Peace, Human Rights and Sustainable Development in Post-Independent Africa

2018 ◽  
Vol 9 (5) ◽  
pp. 9-17
Author(s):  
Eric Che Muma
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Economic Development ◽  
Human Rights ◽  
Sustainable Peace ◽  
The World ◽  
Decision Making Processes ◽  
Global Peace ◽  
The Way

Abstract Since the introduction of democratic reforms in post-independent Africa, most states have been battling corruption to guarantee sustainable peace, human rights and development. Because of the devastating effects of corruption on the realisation of peace, human rights and sustainable development, the world at large and Africa in particular, has strived to fight against corruption with several states adopting national anti-corruption legislation and specialised bodies. Despite international and national efforts to combat corruption, the practice still remains visible in most African states without any effective accountability or transparency in decision-making processes by the various institutions charged with corruption issues. This has further hindered global peace, the effective enjoyment of human rights and sustainable development in the continent. This paper aims to examine the concept of corruption and combating corruption and its impact on peace, human rights and sustainable development in post-independent Africa with a particular focus on Cameroon. It reveals that despite international and national efforts, corruption still remains an obstacle to global peace in Africa requiring a more proactive means among states to achieve economic development. The paper takes into consideration specific socio-economic challenges posed by corruption and the way forward for a united Africa to combat corruption to pull the continent out of poverty, hunger and instability, and to transform it into a better continent for peace, human rights and sustainable development.

scholarly journals How Africa Should Engage Ubuntu Ethics and Artificial Intelligence

2020 ◽  
Vol 2 (4) ◽  
pp. 20-25
Author(s):  
Simon K. Langat ◽  
Pascal M. Mwakio ◽  
David Ayuku
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Human Society ◽  
Communitarian Ethics ◽  
Global Organization ◽  
The World ◽  
New Thinking ◽  
Long Time

Automation of human tasks has taken place for a long time now. Humans have in earlier periods dreamed of a world where machines capable of mimicking decision making would be created with some works of fiction describing in caricature, how machines would take over the human space in the world. Artificial intelligence has come to fruition in the last few decades following the development of fast computing capability and vast chip memory. Discussions of how the human space will look and feel when artificial intelligence have taken place at various levels of global organization geared towards ensuring that the new “thinking machines” do not rock human society in ways to render them obsolete. This article looks at the ethics of AI considering the issues that have been outlined by others in the light of communitarian ethics as seen in Africa. It describes the possible impact of thinking machines on society and how individuals would relate with each other and with AI systems.

scholarly journals AVIADANDO O CURRÍCULO: INDENTIDADE/REPRESENTAÇÃO, GAY, CORPO E POLITICA PÚBLICA.

2020 ◽  
Vol 2 ◽  
pp. 229
Author(s):  
Antonio Santos Carvalho dos Santos Junior ◽  
Janaina Guimarães da Silva
Keyword(s):  
Public Policy ◽  
Public Policies ◽  
Paulo Freire ◽  
Liberation Movement ◽  
The World ◽  
Politica Publica ◽  
The Senses ◽  
Gay Identities ◽  
Theoretical Reflection

RESUMOOs debates em educação necessitam cada vez mais de concepções pedagógicas que emanem do movimento de libertação das oprimidas e dos oprimidos, assim como apregoava o professor Paulo Freire. Isso significa que é preciso realizar o ato educacional na aproximação dos sentidos elaborados pelos sujeitos participantes das dinâmicas pedagógicas, respeitando e potencializando suas identidades no movimento de busca do ser mais no/com o mundo. É preciso sentir o cheiro daqueles/as que conosco participam da construção das aprendizagens, que devem ser instrumentos políticos que re/elaborem nossa presença no mundo. É nesse sentido que este artigo reflete teoricamente acerca da necessidade da construção de currículos que respeitem as identidades gays elaboradas fora e dentro da escola; construídas pelos corpos que, com seus gestos, inscrevem sua presença no mundo e com isso também suscitam políticas públicas para esses sujeitos.Palavras-chave: Currículo. Políticas Públicas. Gays.ABSTRACTDebates on education increasingly require pedagogical conceptions emanating from the liberation movement of the oppressed and oppressed, as Paulo Freire proclaimed. This means that it is necessary to carry out the educational act in the approximation of the senses elaborated by the subjects participating in the pedagogical dynamics, respecting and potentializing their identities in the search movement of being more in / with the world. It is necessary to feel the smell of those who participate with us in the construction of learning, which must be political instruments that re-elaborate our presence in the world. It is in this sense that this article is made as a theoretical reflection about the need to construct curricula that respect the gay identities elaborated outside and within the school; constructed by the bodies that with their gestures, inscribe their presence in the world and, with this, also raise of public policies for these subjects.Keywords: Curriculum. Public policy. Gay.

Examining the Implications of Process and Choice for Strategic Decision Making Effectiveness

2013 ◽  
pp. 344-359
Author(s):  
Paul L. Drnevich ◽  
Thomas H. Brush ◽  
Alok Chaturvedi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Decision Processes ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Political Decision ◽  
Agent Based ◽  
Response Choice ◽  
Decision Making Processes ◽  
Using Data

Most strategic decision-making (SDM) approaches advocate the importance of decision-making processes and response choices for obtaining effective outcomes. Modern decision-making support system (DMSS) technology is often also needed for complex SDM, with recent research calling for more integrative DMSS approaches. However, scholars tend to take disintegrated approaches and disagree on whether rational or political decision-making processes result in more effective decision outcomes. In this study, the authors examine these issues by first exploring some of the competing theoretical arguments for the process-choice-effectiveness relationship, and then test these relationships empirically using data from a crisis response training exercise using an intelligent agent-based DMSS. In contrast to prior research, findings indicate that rational decision processes are not effective in crisis contexts, and that political decision processes may negatively influence both response choice and decision effectiveness. These results offer empirical evidence to confirm prior unsupported arguments that response choice is an important mediating factor between the decision-making process and its effectiveness. The authors conclude with a discussion of the implications of these findings and the application of agent-based simulation DMSS technologies for academic research and practice.

scholarly journals Statistics and Artificial Intelligence-Based Pavement Performance and Remaining Service Life Prediction Models for Flexible and Composite Pavement Systems

2020 ◽  
Vol 2674 (10) ◽  
pp. 448-460
Author(s):  
Orhan Kaya ◽  
Halil Ceylan ◽  
Sunghwan Kim ◽  
Danny Waid ◽  
Brian P. Moore
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Management Decision ◽  
Performance Models ◽  
Remaining Service Life ◽  
Management Decision Making ◽  
Decision Making Processes

In their pavement management decision-making processes, U.S. state highway agencies are required to develop performance-based approaches by the Moving Ahead for Progress in the 21st Century (MAP-21) federal transportation legislation. One of the performance-based approaches to facilitate pavement management decision-making processes is the use of remaining service life (RSL) models. In this study, a detailed step-by-step methodology for the development of pavement performance and RSL prediction models for flexible and composite (asphalt concrete [AC] over jointed plain concrete pavement [JPCP]) pavement systems in Iowa is described. To develop such RSL models, pavement performance models based on statistics and artificial intelligence (AI) techniques were initially developed. While statistically defined pavement performance models were found to be accurate in predicting pavement performance at project level, AI-based pavement performance models were found to be successful in predicting pavement performance in network level analysis. Network level pavement performance models using both statistics and AI-based approaches were also developed to evaluate the relative success of these two models for network level pavement performance modeling. As part of this study, in the development of pavement RSL prediction models, automation tools for future pavement performance predictions were developed and used along with the threshold limits for various pavement performance indicators specified by the Federal Highway Administration. These RSL models will help engineers in decision-making processes at both network and project levels and for different types of pavement management business decisions.

Simulation of consumers decision-making process using agent-based model approach

2019 ◽  
Vol 10 (06) ◽  
pp. 1950037
Author(s):  
Daniel Soto Forero ◽  
Yony F. Ceballos ◽  
German Sànchez Torres
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Real Data ◽  
World Market ◽  
Decision Making Process ◽  
Agent Based ◽  
Dynamic Social Network ◽  
Proposed Model ◽  
The World ◽  
Model Approach

This paper describes a model to simulate the decision-making process of consumers that adopts technology within a dynamic social network. The proposed model use theories and tools from the psychology of consumer behavior, social networks and complex dynamical systems like the Consumat framework and fuzzy logic. The model has been adjusted using real data, tested with the automobile market and it can recreate trends like those described in the world market.

scholarly journals Using a coupled agent-based modeling approach to analyze the role of risk perception in water management decisions

2019 ◽  
Vol 23 (5) ◽  
pp. 2261-2278 ◽  
Author(s):  
Jin-Young Hyun ◽  
Shih-Yu Huang ◽  
Yi-Chen Ethan Yang ◽  
Vincent Tidwell ◽  
Jordan Macknick
Keyword(s):  
Decision Making ◽  
Risk Perception ◽  
Regional Scale ◽  
Agent Based ◽  
Natural Processes ◽  
Complex Adaptive ◽  
San Juan River ◽  
Human Decision ◽  
Decision Making Processes ◽  
Engineered Systems

Abstract. Managing water resources in a complex adaptive natural–human system is a challenge due to the difficulty of modeling human behavior under uncertain risk perception. The interaction between human-engineered systems and natural processes needs to be modeled explicitly with an approach that can quantify the influence of incomplete/ambiguous information on decision-making processes. In this study, we two-way coupled an agent-based model (ABM) with a river-routing and reservoir management model (RiverWare) to address this challenge. The human decision-making processes is described in the ABM using Bayesian inference (BI) mapping joined with a cost–loss (CL) model (BC-ABM). Incorporating BI mapping into an ABM allows an agent's psychological thinking process to be specified by a cognitive map between decisions and relevant preceding factors that could affect decision-making. A risk perception parameter is used in the BI mapping to represent an agent's belief on the preceding factors. Integration of the CL model addresses an agent's behavior caused by changing socioeconomic conditions. We use the San Juan River basin in New Mexico, USA, to demonstrate the utility of this method. The calibrated BC-ABM–RiverWare model is shown to capture the dynamics of historical irrigated area and streamflow changes. The results suggest that the proposed BC-ABM framework provides an improved representation of human decision-making processes compared to conventional rule-based ABMs that do not take risk perception into account. Future studies will focus on modifying the BI mapping to consider direct agents' interactions, up-front cost of agent's decision, and upscaling the watershed ABM to the regional scale.

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