Modelling and Verification of Context-Aware Intelligent Assistive Formalism  

作　　者：Shahid Yousaf Hafiz Mahfooz Ul Haque Abbas Khalid Muhammad Adnan Hashmi Eraj Khan 

机构地区：[1]Department of Computer Science&IT,The University of Lahore,Lahore,54000,Pakistan [2]Department of Software Engineering,The University of Lahore,Lahore,54000,Pakistan [3]Higher Colleges of Technology,Abu Dhabi,25026,UAE

出　　处：《Computers, Materials & Continua》2022年第5期3355-3373,共19页计算机、材料和连续体（英文）

摘　　要：Recent years have witnessed the expeditious evolution of intelligentsmart devices and autonomous software technologies with the expandeddomains of computing from workplaces to smart computing in everydayroutine life activities. This trend has been rapidly advancing towards the newgeneration of systems where smart devices play vital roles in acting intelligently on behalf of the users. Context-awareness has emerged from the pervasive computing paradigm. Context-aware systems have the ability to acquirecontextual information from the surrounding environment autonomously,perform reasoning on it, and then adapt their behaviors accordingly. With theproliferation of context-aware systems and smart sensors, real-time monitoring of environmental situations (context) has become quite trivial. However,it is often challenging because the imperfect nature of context can cause theinconsistent behavior of the system. In this paper, we propose a contextaware intelligent decision support formalism to assist cognitively impairedpeople in managing their routine life activities. For this, we present a semanticknowledge-based framework to contextualize the information from the environment using the protégé ontology editor and Semantic Web Rule Language(SWRL) rules. The set of contextualized information and the set of rulesacquired from the ontology can be used to model Context-aware Multi-AgentSystems (CMAS) in order to autonomously plan all activities of the users andnotify users to act accordingly. To illustrate the use of the proposed formalism,we model a case study of Mild Cognitive Impaired (MCI) patients usingColored Petri Nets (CPN) to show the reasoning process on how the contextaware agents collaboratively plan activities on the user’s behalf and validatethe correctness properties of the system.

关 键 词：CONTEXT-AWARENESS MULTI-AGENTS colored petri net ONTOLOGY 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]