Framework Of Malay Intelligent Autonomous Helper (Min@H): Text, Speech And Knowledge Dimension Towards Artificial Wisdom For Future Military Training System

S. Marzukhi, Zuraini Zainol, H. Muhamed, N. Awang, T. Sembok, Jowati Juhary
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Abstract

Industrial Revolution 4.0 is expected to improve the way of military training system. Most of the assistant systems use English for their Human Machine Interaction (HMI) such ‘SARA’ a virtual socially aware robot assistant which exclude Malay socio-emotional aspects. This scenario opens a suggestion, to internalize socio-emotional aspects based on Malay culture, custom and beliefs to military autonomous training systems (i.e. MIN@H) that can improve the ‘collaborative’ skills between Malaysian military personnel and the systems. Therefore, to increase the wisdom of the systems, they must have feature to capture information for their human users or helping human users to learn new knowledge and ensure the interaction is comfortable and engaging. For that reason, the systems must understand Malay language and be able to interpret emotion and expression behavior according to the Malay culture and custom, furthermore, the systems able to differentiate the level of user’s understanding and build a good rapport or feeling of harmony that makes communication possible or easy between the systems and users. This concept of the systems is referred as Malay Artificial Wisdom System (AWS). There are three fundamental aspects to achieve the AWS. First, to computationally model the conversational strategies and rapport between the system and human users based-on user’s understanding and system’s articulation. Second, to computationally model, recognize and synthesize the emotion and expression behavior according to the Malay culture, custom and beliefs. Third, the AWS can do analytical reasoning and responding in relation to falsehood analysis and users’ understanding level. Knowledge discovery and inference technique as well as HMI that cater the inputs and output of the MIN@H will be developed to accomplish the AWS concept. This program could embrace military training system in Malaysia to enhance military personnel skills and experts in various areas.
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马来语智能自主助手框架(Min@H):面向未来军事训练系统的人工智能的文本、语音和知识维度
工业革命4.0有望改善军事训练体系的方式。大多数助理系统使用英语进行人机交互(HMI),例如“SARA”,一个虚拟的社会意识机器人助理,排除了马来社会情感方面。这个场景提出了一个建议,将基于马来文化、习俗和信仰的社会情感方面内化到军事自主训练系统中(例如MIN@H),这可以提高马来西亚军事人员和系统之间的“协作”技能。因此,为了增加系统的智慧,它们必须具有为人类用户捕获信息或帮助人类用户学习新知识的功能,并确保交互舒适且引人入胜。因此,系统必须理解马来语,并能够根据马来文化和习俗解释情感和表达行为,此外,系统能够区分用户的理解水平,并建立良好的关系或和谐的感觉,使系统和用户之间的沟通成为可能或容易。这个系统的概念被称为马来人工智慧系统(AWS)。实现AWS有三个基本方面。首先,基于用户的理解和系统的表达,对系统与人类用户之间的对话策略和关系进行计算建模。第二,根据马来文化、习俗和信仰,对马来人的情绪和表达行为进行计算建模、识别和综合。第三,AWS可以根据虚假分析和用户的理解水平进行分析推理和响应。为了实现AWS概念,将开发知识发现和推理技术以及满足MIN@H输入和输出的HMI。该项目可以纳入马来西亚的军事培训体系,以提高军事人员的技能和各领域的专家。
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