Embedded Intelligence can be defined as the capability of a system to infer the context of the user from the available input and to reason about the use of data for the inferred context: in suggesting to the user proactively or performing autonomously on the behalf of the user. Embedded intelligence is required to learn about the personality of the user from observations and to store the acquired data for use in future. Embedded intelligent system functionality include recognition of the context, pattern recognition, decision making, fusion of information, data mining as well as adaptively.
In the context of the intelligent vacuum cleaner, the concept of embedded intelligence applies to the fact that the vacuum cleaner is required to extract the context of the input that comes in from its sensors as well as the user and have to make a decision on how to perform its task based on the data that it has acquired. Not only, this the vacuum cleaner is also required to learn from its experience and the inputs of its users and including these in its next decision as well. Functionality of the embedded intelligent systems that can be found in the vacuum clear include pattern recognition as the vacuum cleaner is required to identify different types of material and shape, decision making since vacuum cleaner would have to make decision on the safety of its surroundings, adaptively because it would need to adapt to the condition of how dirty a carpet is and its size and material and recognition of the context as the vacuum cleaner would have to perform cleaning tasks differently on different types of carpet in a totally different environment (Wright et al 2008).
In its performance, vacuum cleaner will have to face several types of uncertainty. These uncertainties occur due to the fact that a vacuum cleaner can only be fitted with a small circuitry for intelligence, in order for it to remain fully functional. This not only introduces limit in information storage capacity of the vacuum cleaner but also in the design of the components of the circuitry which limit its processing capabilities. There are four types of uncertainties which would be faced by the vacuum cleaner which are Uncertainty from its sensors, Uncertainty from stored data, Uncertainty in user input and Uncertainty due to faults of its components.
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