scholarly journals A Dynamic and Context-aware Model of Knowledge Transfer and Learning using a Decision Making Perspective

2016 ◽  
Author(s):  
Evelina Giacchi ◽  
Aurelio La Corte ◽  
Eleonora Di Pietro
Keyword(s):  
Decision Making ◽  
Knowledge Transfer ◽  
Context Aware

scholarly journals Research use at the Ministry of Health in Burkina Faso: the decision-makers’ perspective

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Christian Dagenais
Keyword(s):  
Decision Making ◽  
Knowledge Transfer ◽  
Burkina Faso ◽  
Informed Decision ◽  
Communication Strategy ◽  
Decision Makers ◽  
Research Use ◽  
Informed Decision Making ◽  
Ministry Of Health ◽  
Policy Makers

Abstract Background Despite the increased emphasis placed on the use of evidence for policy development, relatively few initiatives have been developed to support evidence-informed decision-making, especially in West Africa. Moreover, studies examining the conditions under which policy-makers use research-based evidence are still scarce, but they show that their attitudes and opinions about research are one of the main determinants of such use. In February 2017, Burkina Faso’s Minister of Health planned to create a unit to promote evidence-informed decision-making within the ministry. Before the unit was set up, documenting the attitudes towards research at the highest levels of his Ministry appeared profitable to the unit’s planning. Method Individual interviews were conducted by the author with 14 actors positioned to consider evidence during decision-making from the Burkina Faso’s Minister of health cabinet. An interview grid was used to explore several themes such as attitudes towards research, obstacles and facilitators to research use, example of research use in decision-making and finally, ways to increase decision-makers’ participation in knowledge transfer activities. Interviews were partially transcribed and analysed by the author. Results The results show a mixed attitude towards research and relatively little indication of research use reported by respondents. Important obstacles were identified: evidence inaccessibility, lack of implementation guidelines, absence of clear communication strategy and studies’ lack of relevance for decision-making. Many suggestions were proposed such as raising awareness, improving access and research communication and prioritizing interactions with researchers. Respondents agree with the low participation of decision-makers in knowledge transfer activities: more leadership from the senior officials was suggested and greater awareness of the importance of their presence. Conclusions The conclusion presents avenues for reflection and action to increase the potential impact of the knowledge transfer unit planned within the Ministry of Health of Burkina Faso. This innovative initiative will be impactful if the obstacles identified in this study and policy-makers’ preferences and needs are taken into account during its development and implementation.

scholarly journals A Confrontation Decision-Making Method with Deep Reinforcement Learning and Knowledge Transfer for Multi-Agent System

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 631
Author(s):  
Chunyang Hu
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Knowledge Transfer ◽  
Large Scale ◽  
Effective Control ◽  
Small Scale ◽  
Learning Agent ◽  
Multi Agent ◽  
Transfer Method ◽  
Parameter Sharing

In this paper, deep reinforcement learning (DRL) and knowledge transfer are used to achieve the effective control of the learning agent for the confrontation in the multi-agent systems. Firstly, a multi-agent Deep Deterministic Policy Gradient (DDPG) algorithm with parameter sharing is proposed to achieve confrontation decision-making of multi-agent. In the process of training, the information of other agents is introduced to the critic network to improve the strategy of confrontation. The parameter sharing mechanism can reduce the loss of experience storage. In the DDPG algorithm, we use four neural networks to generate real-time action and Q-value function respectively and use a momentum mechanism to optimize the training process to accelerate the convergence rate for the neural network. Secondly, this paper introduces an auxiliary controller using a policy-based reinforcement learning (RL) method to achieve the assistant decision-making for the game agent. In addition, an effective reward function is used to help agents balance losses of enemies and our side. Furthermore, this paper also uses the knowledge transfer method to extend the learning model to more complex scenes and improve the generalization of the proposed confrontation model. Two confrontation decision-making experiments are designed to verify the effectiveness of the proposed method. In a small-scale task scenario, the trained agent can successfully learn to fight with the competitors and achieve a good winning rate. For large-scale confrontation scenarios, the knowledge transfer method can gradually improve the decision-making level of the learning agent.

scholarly journals МОЖЛИВОСТІ ЗАСТОСУВАННЯ ТЕХНОЛОГІЙ ДИСТАНЦІЙНОГО НАВЧАННЯ В БЕЗПЕРЕРВНОМУ ПРОФЕСІЙНОМУ РОЗВИТКУ ПРОВІЗОРІВ

2015 ◽  
Author(s):  
L. Yu. Babintseva
Keyword(s):  
Professional Development ◽  
Decision Making ◽  
Distance Learning ◽  
Knowledge Transfer ◽  
Continuing Professional Development ◽  
Learning Technologies ◽  
Individualized Learning ◽  
Quality Of Learning ◽  
Distance Learning Technologies

<p>The possibilities of distance learning technologies to provide effective continuing professional development of ph ar macists<br />was discussed. Improving the quality of this study is to provide adaptability and confor mity knowledge transfer. Applying the principles of individualized learning was improved quality of learning more. Individualization of training can reduce the amount of errors in decision-making (analysis of situational tasks) more than twice was proved.</p>

A probabilistic model for context-aware proactive decision making

2016 ◽  
Author(s):  
Alexandros Bousdekis ◽  
Nikos Papageorgiou ◽  
Babis Magoutas ◽  
Dimitris Apostolou ◽  
Gregoris Mentzas
Keyword(s):  
Decision Making ◽  
Probabilistic Model ◽  
Context Aware

scholarly journals Intelligent assistant system as a context-aware decision-making support for the workers of the future

2020 ◽  
Vol 139 ◽  
pp. 105732 ◽  
Author(s):  
Farouk Belkadi ◽  
Mohamed Anis Dhuieb ◽  
José Vicente Aguado ◽  
Florent Laroche ◽  
Alain Bernard ◽  
...  
Keyword(s):  
Decision Making ◽  
Context Aware ◽  
The Future ◽  
Intelligent Assistant ◽  
Decision Making Support
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