Drones-As-A-Service: A Control Layout to Provide Mission Designing, useful Resource Agent and Operation Assistance for Fleets of Drones

2020 ◽  
Vol V9 (05) ◽  
Author(s):  
Akhila B Badni ◽  
Basavaraj Muragod ◽  
Keyword(s):  
Resource Agent

scholarly journals Symbiosis Evolution Model and Behavior of Multiple Resource Agents in the Smart Elderly Care Service Ecosystem

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 570
Author(s):  
Chi Zhang ◽  
Changyong Liang ◽  
Chao Zhang ◽  
Yiming Ma
Keyword(s):  
Service Providers ◽  
Care Service ◽  
Elderly Care ◽  
Evolutionary Model ◽  
Logistic Growth ◽  
Management Problem ◽  
Symbiosis Model ◽  
Service Ecosystem ◽  
Multiple Resource ◽  
Resource Agent

Population aging has become an important factor restricting China′s social and economic development. The smart health and elderly care industry has developed rapidly in the past five years. However, the service resources among various elderly service providers are relatively isolated and scattered. In other words, the core management problem in the components of the smart elderly care service ecosystem is how to deal with the relationships of interest among multiple resource agents. Thus, the main contribution of this study is to employ symbiosis theory and the logistic growth model to construct a model of the evolution of the symbiosis of multiple resource agents in the smart elderly care service ecosystem. Then, we carry out a stability analysis, and analyze the evolutionary model of two resource agents′ symbiosis under different values of interdependence coefficients. Finally, we use computer simulations to dynamically simulate the model and comparatively analyze the population density of the hospital–nursing home symbiotic relationship using real cases in China. According to the study, we find that the enterprise goal in the smart elderly care service ecosystem should be to maximize the overall value of the multiple resource agents, and the result of the symbiotic evolution between different resource agents depends on the symbiotic interdependence coefficient, while the resource agent uses different strategies under different symbiosis models. Therefore, regulation is needed to ensure the relative fairness of the distribution of value co-creation in the smart elderly care service ecosystem when the resource agent takes actions that benefit itself. Of course, when the ecosystem is in a reciprocal symbiosis model, each resource agent benefits from the activities of the other resource agents, which is ideal in reality; in other words, the best symbiosis model between the two resource agents should be the similar reciprocal symbiosis model.

scholarly journals A multi-start iterated tabu search algorithm for the multi-resource agent bottleneck generalized assignment problem

2019 ◽  
Vol 10 (1) ◽  
pp. 37-46
Author(s):  
Gülçin Bektur
Keyword(s):  
Tabu Search ◽  
Assignment Problem ◽  
Large Scale ◽  
Search Algorithm ◽  
Maximum Load ◽  
Mixed Integer ◽  
Generalized Assignment Problem ◽  
Generalized Assignment ◽  
Iterated Tabu Search ◽  
Resource Agent

In this study, a multi-resource agent bottleneck generalized assignment problem (MRBGAP) is addressed. In the bottleneck generalized assignment problem (BGAP), more than one job can be assigned to an agent, and the objective function is to minimize the maximum load over all agents. In this problem, multiple resources are considered and the capacity of the agents is dependent on these resources and it has minimum two indices. In addition, agent qualifications are taken into account. In other words, not every job can be assignable to every agent. The problem is defined by considering the problem of assigning jobs to employees in a firm. BGAP has been shown to be NP- hard. Consequently, a multi-start iterated tabu search (MITS) algorithm has been proposed for the solution of large-scale problems. The results of the proposed algorithm are compared by the results of the tabu search (TS) algorithm and mixed integer linear programming (MILP) model.

An Agent Based Approach to Patient Scheduling Using Experience Based Learning

2010 ◽  
Vol 2 (4) ◽  
pp. 1-15 ◽  
Author(s):  
E. Grace Mary Kanaga ◽  
M. L. Valarmathi ◽  
Juliet A Murali
Keyword(s):  
Processing Time ◽  
Programming Model ◽  
Optimal Solution ◽  
Patient Scheduling ◽  
Agent Based ◽  
Scheduling System ◽  
Experience Based Learning ◽  
Learning Techniques ◽  
Time Required ◽  
Resource Agent

This paper describes an agent based approach to patient scheduling using experience based learning and an integer programming model. The evaluation on different learning techniques shows that the experience based learning (EBL) provides a better solution. The time required to process a particular job is reduced as the experience processed by it increases. The processing time can be calculated with the help of EBL. The main objective of this patient scheduling system is to reduce the waiting time of patient in hospitals and to complete their treatment in minimum required time. The proposed framework is implemented in JADE. In this approach the patients are represented as patient agent (PA) and resources as resource agent (RA). This mathematical model provides an optimal solution. The comparisons of the proposed framework with other scheduling rules shows that an agent based approach to patient scheduling using EBL gives better results.

scholarly journals On the evolutionary origins of equity

2016 ◽  
Author(s):  
Stéphane Debove ◽  
Nicolas Baumard ◽  
Jean-Baptiste André
Keyword(s):  
Neural Networks ◽  
Selection Pressure ◽  
Evolutionary Strategy ◽  
Agent Based ◽  
Evolutionary Origins ◽  
Relative Contribution ◽  
Cooperative Partner ◽  
Philosophical Debates ◽  
Evolution Of Preferences ◽  
Resource Agent

AbstractEquity, defined as reward according to contribution, is considered a central aspect of human fairness in both philosophical debates and scientific research. Despite large amounts of research on the evolutionary origins of fairness, the evolutionary rationale behind equity is still unknown. Here, we investigate how equity can be understood in the context of the cooperative environment in which humans evolved. We model a population of individuals who cooperate to produce and divide a resource, and choose their cooperative partners based on how they are willing to divide the resource. Agent-based simulations, an analytical model, and extended simulations using neural networks provide converging evidence that equity is the best evolutionary strategy in such an environment: individuals maximize their fitness by dividing benefits in proportion to their own and their partners’ relative contribution. The need to be chosen as a cooperative partner thus creates a selection pressure strong enough to explain the evolution of preferences for equity. We discuss the limitations of our model, the discrepancies between its predictions and empirical data, and how interindividual and intercultural variability fit within this framework.

scholarly journals WIZERUNEK MEDIALNY DONALDA TRUMPA WEDŁUG MODELI KOMUNIKACJI

2019 ◽  
Vol 19 ◽  
pp. 51-60
Author(s):  
Adam Jankiewicz
Keyword(s):  
United States ◽  
Mathematical Model ◽  
Mass Media ◽  
Access Management ◽  
Donald Trump ◽  
Media Messages ◽  
The World ◽  
Interpersonal Model ◽  
The Mathematical Model ◽  
Resource Agent

The article brings closer various ways in which the president of United States Donald Trump image is presented in mass media, especially in the world press. The positive as well as the negative Donald Trump’s image is created and communicated to their receivers in accordance with models of communication such as: the mathematical model of communication as a process by Shannon and Weaver (1949) and the interpersonal model of communication DRAAM (domain-resource-agent-access-management) created by Puppel (2004). The article concentrates on the management of information and creation of media messages using communicative resources in which way to achieve anticipated reaction of the receiver to the featured image.

scholarly journals The virtues of idleness: A decidable fragment of resource agent logic

2017 ◽  
Vol 245 ◽  
pp. 56-85 ◽  
Author(s):  
Natasha Alechina ◽  
Nils Bulling ◽  
Brian Logan ◽  
Hoang Nga Nguyen
Keyword(s):  
Decidable Fragment ◽  
Resource Agent

Modeling of Network Cooperative Design of a Hydraulic System Based on Multi-Agent

2011 ◽  
Vol 317-319 ◽  
pp. 1424-1428
Author(s):  
Zhi Jun Feng ◽  
De Jian Zhou ◽  
Qi Fang Shen ◽  
Yan Hui Chen
Keyword(s):  
Collaborative Design ◽  
Hydraulic System ◽  
Data Exchange ◽  
Autonomous Agent ◽  
Cooperative Design ◽  
Improve Design ◽  
Distributed Structure ◽  
Global Target ◽  
Multi Agent ◽  
Resource Agent

To shorten the design period of a hydraulic system and achieve distributed cooperative design by experts, this paper proposes a model of the network collaborative design of a hydraulic system based on multi-agent technology. This model consists of three layers: the management agent layer, the middle agent layer and the resource agent layer. Its agent of the same layer adopts distributed structure, and each autonomous agent is constituted of a group of lower subordinate agents. This structure meets the need of distributed control of the cooperative design. By dynamic data exchange of agents, it carries out their communication, coordination and conflict resolution, and finally gets the global target. From the developed example, a multi-agent system can easily integrate existing engineering design tools with analysis tools. Its concurrent design process can improve design efficiency.

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