A knowledge-based approach for task-oriented mission planning

2016 ◽  
Author(s):  
Nadia El Bekri ◽  
Yvonne Fischer ◽  
David Marosz
Author(s):  
Daniel Memmi

Information and knowledge have become a crucial resource in our knowledge-based, computermediated economy. But knowledge is primarily a social phenomenon, on which computer processing has had only a limited impact so far, in spite of impressive advances. In this context have recently appeared various collaborative systems that promise to give access to socially situated information. We argue that a prior analysis of the social context is necessary for a better understanding of the whole domain of collaborative software. We will examine the variety and functions of information in modern society, where collaborative information management is now the dominant type of occupation. In fact, real information is much more complex than its usual technical sense: one should distinguish between information and knowledge, as well as between explicit and tacit knowledge. Because of the notable importance of tacit knowledge, social networks are indispensable in practice for locating relevant information. We then propose a typology of collaborative software, distinguishing between explicit communities supported by groupware systems, task-oriented communities organized around a common data structure, and implicit links exploited by collaborative filtering and social information retrieval. The latter approach is usually implemented by virtually grouping similar users, but there exist many possible variants. Yet much remains to be done by extracting, formalizing, and exploiting implicit social links.


2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Da-Wei Jin ◽  
Li-Ning Xing

The multiple satellites mission planning is a complex combination optimization problem. A knowledge-based simulated annealing algorithm is proposed to the multiple satellites mission planning problems. The experimental results suggest that the proposed algorithm is effective to the given problem. The knowledge-based simulated annealing method will provide a useful reference for the improvement of existing optimization approaches.


Author(s):  
Jocelyne Nanard ◽  
Marc Nanard ◽  
Anne-Marie Massotte ◽  
Alain Djemaa ◽  
Alain Joubert ◽  
...  

2021 ◽  
Author(s):  
Dingmin Wang ◽  
Ziyao Chen ◽  
Wanwei He ◽  
Li Zhong ◽  
Yunzhe Tao ◽  
...  

1996 ◽  
Vol 5 (2) ◽  
pp. 224-240 ◽  
Author(s):  
Robin R. Murphy ◽  
Erika Rogers

This paper describes current work on a cooperative teleassistance system for semiautonomous control of mobile robots. This system combines a robot architecture for limited autonomous perceptual and motor control with a knowledge-based operator assistant that provides strategic selection and enhancement of relevant data. It extends recent developments in artificial intelligence in modeling the role of visual interactions in problem solving for application to an interface permitting the human and remote to cooperate in cognitively demanding tasks such as recovering from execution failures, mission planning, and learning. The design of the system is presented, together with a number of exception-handling scenarios that were constructed as a result of experiments with actual sensor data collected from two mobile robots.


Author(s):  
Ryszard Antkiewicz ◽  
Mariusz Chmielewski ◽  
Tomasz Drozdowski ◽  
Andrzej Najgebauer ◽  
Jarosaw Rulka ◽  
...  

Author(s):  
Daniel Memmi

Information and knowledge have become a crucial resource in our knowledge-based, computer-mediated economy. But knowledge is primarily a social phenomenon, on which computer processing has had only a limited impact so far, in spite of impressive advances. In this context have recently appeared various collaborative systems, that promise to give access to socially-situated information. We argue that a prior analysis of the social context is necessary for a better understanding of the whole domain of collaborative software. We will examine the variety and functions of information in modern society, where collaborative information management is now the dominant type of occupation. In fact, real information is much more complex than its usual technical sense: one should distinguish between information and knowledge, as well as between explicit and tacit knowledge. Because of the importance of tacit knowledge notably, social networks are indispensable in practice for locating relevant information. We then propose a typology of collaborative software, distinguishing between explicit communities supported by groupware systems, task-oriented communities organized around a common data structure, and implicit links exploited by collaborative filtering and social information retrieval. The latter approach is usually implemented by virtually grouping similar users, but there exist many possible variants. Yet much remains to be done by extracting, formalizing and exploiting implicit social links.


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