A Cloud-based Robot System for Long-term Interaction: Principles, Implementation, Lessons Learned

Making the transition to long-term interaction with social-robot systems has been identified as one of the main challenges in human-robot interaction. This article identifies four design principles to address this challenge and applies them in a real-world implementation: cloud-based robot control, a modular design, one common knowledge base for all applications, and hybrid artificial intelligence for decision making and reasoning. The control architecture for this robot includes a common Knowledge-base (ontologies), Data-base, “Hybrid Artificial Brain” (dialogue manager, action selection and explainable AI), Activities Centre (Timeline, Quiz, Break and Sort, Memory, Tip of the Day, \ldots ), Embodied Conversational Agent (ECA, i.e., robot and avatar), and Dashboards (for authoring and monitoring the interaction). Further, the ECA is integrated with an expandable set of (mobile) health applications. The resulting system is a Personal Assistant for a healthy Lifestyle (PAL), which supports diabetic children with self-management and educates them on health-related issues (48 children, aged 6–14, recruited via hospitals in the Netherlands and in Italy). It is capable of autonomous interaction “in the wild” for prolonged periods of time without the need for a “Wizard-of-Oz” (up until 6 months online). PAL is an exemplary system that provides personalised, stable and diverse, long-term human-robot interaction.

TECHNOLOGIES OF EXPERT SYSTEMSCONSTRUCTION FOR ELECTRIC POWER

The technologies of construction diagnostic expert systems is considered. The strategy of the knowledge base structuring by diagnostic expert system is described

Formation of the Knowledge Base of Benchmarking Research in HRM Using Information Technologies

Theoretical aspects and practical developments in the use of corporate knowledge management technologies are considered. The importance of knowledge management in the company's personnel management system is analyzed. The technology of benchmarking as a source of obtaining new corporate knowledge is highlighted and described. Special attention is paid to HR analytics processes. The use of benchmarking research as a tool for analyzing the field of personnel management is proposed. Approaches to the development of metrics for benchmarking in the field of personnel management of the organization are described. Based on the study of the practical experience of the use of benchmarking research by companies, the need for the organization of storage and effective dissemination of results has been established. Considering that at present corporate knowledge is becoming the most valuable internal product of the organization, the use of modern information technologies is proposed to expand access to corporate knowledge and solve the problems of decentralization of knowledge, duplication and loss of information for decision-making in the field of personnel management.

Modeling Frameworks for Knowledge Engineering Approaches

Human knowledge was regarded as a transfer process into an applied knowledge base in the early 1980s as the creation of a Knowledge-Based Systems (KBS). The premise behind this transfer was that the KBS-required information already existed and only needed to be gathered and applied. Most of the time, the necessary information was gleaned through talking to professionals about how they handle particular problems. This knowledge was usually put to use in production rules, which were then carried out by a rule interpreter linked to them. Here, we demonstrate a number of new ideas and approaches that have emerged during the last few years. This paper presents MIKE, PROTÉGÉ-II, and Common KADS as three different modeling frameworks that may be used together or separately.

Towards a Bibliometric Mapping of Network Public Opinion Studies

To grasp the current status of network public opinion (NPO) research and explore the knowledge base and hot trends from a quantitative perspective, we retrieved 1385 related papers and conducted a bibliometric mapping analysis on them. Co-occurrence analysis, cluster analysis, co-citation analysis and keyword burst analysis were performed using VOSviewer and CiteSpace software. The results show that the NPO is mainly distributed in the disciplinary fields associated with journalism and communication and public management. There are four main hotspots: analysis of public opinion, analysis of communication channels, technical means and challenges faced. The knowledge base in the field of NPO research includes social media, user influence, and user influence related to opinion dynamic modeling and sentiment analysis. With the advent of the era of big data, big data technology has been widely used in various fields and to some extent can be said to be the research frontier in the field. Transforming big data public opinion into early warning, realizing in-depth analysis and accurate prediction of public opinion as well as improving decision-making ability of public opinion are the future research directions of NPO.

Strategies, Tips, and Language to Support Parent and Educators Through the IEP Process

This chapter provides strategies, tips, and language through the IEP process from the first person perspective of a parent turned parent-advocate. This chapter shares with educators what the experience is like from a parent side of the table and the emotions involved. It also is meant to help build a knowledge base for parents and encouragement from the author's perspective as a parent. Lastly, this chapter shows that there are ways to bring the student's voice into their IEP regardless of their communication ability.

FLC Technique in Smart Grid for Demand Side Management

The chapter discusses the general characteristics of smart grid, which combines different state-of-the-art technologies intended for operative power distribution when the generation is decentralized. Fault's existence in the power grid is entirely unanticipated. Fuzzy logic is the computational intelligence technique that integrates the knowledge base of experts that is either human or system using the qualitative expression. This technique can successfully be applied for end-user who is a prosumer and aims for low electricity bill as well as provide intelligent decision-making skill in the agents of the multi-agent system. Fuzzy inference system can be efficiently used in such systems due to its capability to deal with imprecision, incomplete data, and its strong knowledge base.