نتایج جستجو برای: hybrid context aware modeling
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In our everyday life, we communicate with each other within a certain context; our actions are also within a certain context. Events affect every aspect of human life. The importance of the context also influences how we interact with the environment and how technologies provide services for us. The Context is generally regarded as data or information which describes the situation that is relev...
We present AKIRA, an agent-based hybrid architecture designed for cognitive modeling. We describe some of the underlying ideas motivating its development, such as the possibility of exploiting distributed representations and performing parallel, dynamic and context aware computation. We illustrate its main components and capabilities and compare it with some related cognitive architectures, suc...
Context-aware computing is an emerging paradigm to free everyday users from manually configuring and instructing computer systems. As the general trend of computing is progressing towards an open and dynamic infrastructure, building context-aware systems can be difficult and costly. In order to build successful context-aware systems, we must develop an architecture to reduce the difficulty and ...
In context-aware systems, one of the main challenges is how to model context uncertainty well, since perceived context always yields uncertainty and ambiguity with consequential effect on the performance of context-aware system. To handle uncertainty in context-aware systems, firstly, we should know from where uncertainty comes. In this paper, we argue that uncertainty comes from several source...
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