Identification and classification of agent behaviour at runtime in open, trust-based organic computing systems

2017 ◽  
Vol 75 ◽  
pp. 68-78 ◽  
Author(s):  
Jan Kantert ◽  
Sven Tomforde ◽  
Richard Scharrer ◽  
Susanne Weber ◽  
Sarah Edenhofer ◽  
...  
2005 ◽  
Vol 47 (4) ◽  
Author(s):  
Kirstie L. Bellman

SummuryIncreasingly diverse and complex computer-based support underlies critical human processes, such as education, commerce, medicine, science, defense, and government. These systems are fed massive amounts of data and due to the complexity and size of these systems, they are integrating and interfacing with each other with less human oversight. Soon, they will need to build, refine, and elaborate their own models and processes, making more decisions about what information to use in what manner and how to approach problems or goals. Hence, these systems must be able to reason about and report out to us their modeling and processing choices in order to help us monitor and control their operations and interactions. In this paper, we discuss our work on creating reflective systems, and how reflection coupled with “generative processes” and “cognitive instrumentation” will help enable organic computing systems. We then briefly describe our testbed for studying self-conscious modeling.


Author(s):  
George Wamamu Musumba ◽  
Henry O. Nyongesa

Context awareness is increasingly gaining applicability in interactive ubiquitous mobile computing systems. In order to apply this concept in design of applications for dynamic environments, it is necessary to understand what constitutes context awareness, the classification of context and context-aware development frameworks. The concept of context awareness is discussed, various approaches to context awareness are reviewed, and important aspects of context-aware mobile computing are analysed. Recommendations for better understanding of context awareness and design principles for development of context-aware applications are provided.


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