Abstract
In the last decade, smart computing has garnered much attention, particularly in ubiquitous environments, thus increasing the ease of everyday human life. Users can dynamically interact with the systems using different modalities in a smart computing environment. The literature discussed multiple mechanisms to enhance the modalities for communication using different knowledge sources. Among others, Multi-context System (MCS) has been proven quite significant to interlink various context domains dynamically to a distributed environment. MCS is a collection of different contexts (independent knowledge sources), and every context contains its own set of defined rules and facts and inference systems. These contexts are interlinked via bridge rules. However, the interaction among knowledge sources could have the consequences such as bringing out inconsistent results. These issues may report situations such as the system being unable to reach a conclusion or communication in different contexts becoming asynchronous. There is a need for a suitable framework to resolve inconsistencies. In this article, we provide a framework based on contextual defeasible reasoning and a formalism of multi-agent environment is to handle the issue of inconsistent information in MCS. Additionally, in this work, a prototypal simulation is designed using a simulation tool called NetLogo, and a formalism about a Parkinson's disease patient's case study is also developed. Both of these show the validity of the framework.
Highlights
Ubiquitous computing deals with invisibly interweaving the real world with various agents embedded seamlessly in everyday objects of lives and connected through dedicated networks and media to make our everyday life easier and more efficient [1–3]
Smart environments are the physical environments used in daily human life that are seamlessly embedded with tiny smart devices equipped with sensors, actuators, and computational elements
An ontology-driven formalism has been proposed for handling inconsistency in a highly dynamic environment
Summary
Ubiquitous computing deals with invisibly interweaving the real world with various agents embedded seamlessly in everyday objects of lives and connected through dedicated networks and media to make our everyday life easier and more efficient [1–3]. Smart environments are the physical environments used in daily human life that are seamlessly embedded with tiny smart devices equipped with sensors, actuators, and computational elements (agents) These physically embedded devices are connected through a continuous data collection and processing network to enable various pervasive applications, services, and smart environments to perform efficiently. A multi-agent system is a computerized system comprising multiple interacting intelligent agents [6] These intelligent agents can collect data, process it, and send it to the controller/central system for further analysis. The equilibria are lost whenever the system receives contradictory or inconsistent information This makes the overall system not provide a conclusion, causing it to become purposeless. Process data, and perform reasoning in each context in MCS. Intelligent agents acquire contextual information from the sensors and perform reasoning .
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