ServiceNow is a powerful IT service management and automation platform that has made significant inroads in the Enterprise market due to its robust set of features and capabilities. This book will ...help you get started as a ServiceNow developer or administrator, and leverage the full capabilities of the ServiceNow platform through real-world.
In the not so distant future, we can expect a world where humans and robots coexist and interact with each other. For this to occur, we need to understand human traits, such as seeing, hearing, ...thinking, speaking, etc., and institute these traits in robots. The most essential feature necessary for robots to achieve is that of integrative multimedia understanding (IMU) which occurs naturally in humans. It allows us to assimilate pieces of information expressed through different modes such as speech, pictures, gestures, etc.
The book describes how robots acquire traits like natural language understanding (NLU) as the central part of IMU. Mental image directed semantic theory (MIDST) is its core, and is based on the hypothesis that NLU is essentially the processing of mental image associated with natural language expressions, namely, mental-image based understanding (MBU). MIDST is intended to model omnisensory mental image in human and to afford a knowledge representation system in order for integrative management of knowledge subjective to cognitive mechanisms of intelligent entities such as humans and robots based on a mental image model visualized as ‘Loci in Attribute Spaces’ and its description language L md (mental image description language) to be employed for predicate logic with a systematic scheme for symbol-grounding. This language works as an interlingua among various kinds of information media, and has been applied to several versions of the intelligent system interlingual understanding model aiming at general system (IMAGES). Its latest version, i.e. conversation management system (CMS) simulates MBU and comprehends the user’s intention through dialogue to find and solve problems, and finally, provides a response in text or animation.
The book is aimed at researchers and students interested in artificial intelligence, robotics, and cognitive science. Based on philosophical considerations, the methodology will also have an appeal in linguistics, psychology, ontology, geography, and cartography.
Key Features:
Describes the methodology to provide robots with human-like capability of natural language understanding (NLU) as the central part of IMU
Uses methodology that also relates to linguistics, psychology, ontology, geography, and cartography
Examines current trends in machine translation
Table of Contents:
Introduction
Anna - an ideal home robot
Intuitive human-robot interaction
Integrative multimedia understanding and natural language understanding
Knowledge and cognition
Natural Language Processing Viewed from Semantics
Trends in machine translation
Case study of current MT systems (as of October, 2018)
Fundamentals for Robotic NLU
NLU in accordance with semiotics
Syntactic analysis
Semantic analysis and pragmatic analysis
Robust NLU
Response synthesis
Syntax and semantics of discourse
Cognitive Essentials for Midst
Functional model of human mind
Human knowledge and cognitive propensities
Semantics and mental image
QSIs (quasi-symbolic images) and human concept system
Primitive quasi-symbolic images
Perception of causality
Semantic articulation and QSI connectors
Negation of mental image
Imaginary space region
Computational Model of Mental Image
Atomic locus as primitive QSI
Temporal conjunctions as QSI connectors
Empty event
Attributes and Standards
Formal System
Semantic principle of L md
Syntax of L md
Tempo-logical connectives
Formulation of event concepts
Formulation of laws of the world
Fundamental Postulates and Inference Rules for Deductive System
Properties of Loci
Inference rules for deduction
Tempo-logical deduction with TLCs
Human-Specific Semantics of 4d Language as Mental Images
Conventional approaches to 4D language understanding
4D language semantics as mental images
Formulation of concepts of spatial prepositions
Properties of static 4D concepts as human intuitive mental images
Reversal operation on spatial change event concepts as mental images
Problem Finding and Solving in Formal System
Definition of problem and task
Creation problem finding and solving
Maintenance problem finding and solving
Human Language Understanding by Robots
Two-staged robotic NLU
Robotic concept system for iHRI
Compound concept system for robots
Robot manipulation as cross-media operation via L md
Aware computing in robots
Homogeneous/Inhomogeneous Communication
4d Language Understanding for Cognitive Robotics
Requirements for robotic NLU
Logical Adequacy of L md
Translation between NL and L md
Reasoning in L md
Anchoring via L md
Behavioralization via L md
Systematic interpretation of L md
Multilingual Operation Via L md
Meaning definition
Optimization of grammatical description for word meaning definition
Language operation via L md
Question answering through L md
Computational Model of Japanese for NLU
Brief description of basic Japanese
Phrase structure grammar for Japanese
Dependency grammar for Japanese
Sentence and discourse of Japanese
Sentence types of Japanese and phrasing
Implementation of Mental-Image Based Understanding
Configuration of CMS
MBU versus conventional NLU
Stimulus sentences to CMS and human subjects
Mental image based understanding by CMS
Problem finding and solving in CMS
Awareness control of CMS
Conclusions
References
This is an excellent resource for scientists and engineers looking to develop a deep natural language understanding system for application in robotics, currently one of the most critical areas of development for artificial intelligence technologies. The book is very well written and easy to follow for readers with a good background in artificial intelligence or natural language processing. The considerable number of examples and diagrams included make this volume particularly valuable for students. The examples illustrating machine understanding of Japanese offer an exciting bonus for readers engaged in machine translation or computational linguistics.
-- J. Brzezinski, McHenry County College, Choice, 2020 Vol. 58 No. 2
Masao Yokota received a Bachelor degree from Kyushu Institute of Technology, and Master and Doctor degrees from Kyushu University. He is now a professor of informatics at Fukuoka Institute of Technology. His research focus is on AI, especially in integrative multimedia understanding by robots in being as 'natural' as humans where natural language understanding (NLU) plays the central role. He has proposed 'Mental Image Directed Semantic Theory (MIDST)' based on a hypothesis that NLU in humans is mental image processing. MIDST provides an omnisensory mental image model and a formal language called ' L md (Language for Mental Image Description)'. This formal language has been already implemented on several versions of the intelligent system IMAGES including integrative multimedia understanding system IMAGES-M and conversation management system CMS. Dr. Yokota has authored numerous articles on AI and was the leader of many projects funded by Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT), and Fukuoka Institute of Technology (FIT).
Information Visualization is the major revision of a classic work on information visualization. This book explores the art and science of why we see objects the way we do. Based on the science of ...perception and vision, the author presents the key principles at work for a wide range of applications - resulting in visualization of improved clarity, utility, and persuasiveness. This is the first work to use the science of perception to help serious designers and analysts optimize understanding and perception of their data visualizations. This unique and essential guide to human visual perception and related cognitive principles will enrich courses on information visualization and empower designers to see their way forward. Its updated review of empirical research and interface design examples will do much to accelerate innovation and adoption of information visualization. New to this edition are a new chapter on visual thinking, new sections on face perception and flow visualization, and a much-expanded chapter on color and color sequences. This book will appeal to interaction designers; graphic designers of all kinds (including web designers); financial analysts; research scientists and engineers; data miners; and managers faced with information-intensive challenges. *First work to use the science of perception to help serious designers and analysts optimize understanding and perception of their data visualizations.* Major revision of this classic work, with a new chapter on visual thinking, new sections on face perception and flow visualization, and a much expanded chapter on color and color sequences. *New to this edition is the full color treatment throughout, to better display over 400 illustrations.
U radu će se usporediti mogućnosti Zadaća (Assignments) u MS Teamsu i Edmodu, gledano s pozicije učitelja i učenika. Predstaviti će se online istraživanje o primjeni mogućnosti Zadaća na nastavi ...informatike, kako tijekom nastave u školi, tako i za vrijeme nastave na daljinu koje se provelo u prosincu 2020. među učenicima šestih i sedmih razreda II. osnovne škole Čakovec kako bi se dobila povratna informacija o primjeni ovih mogućnosti, gledano od strane učenika. Sudjelovanje u istraživanju bilo je anonimno, a provedeno je putem online upitnika kreiranog pomoću Google obrasca. Pitanja su se odnosila na nastavu informatike i primjenu
Zadaća. Opcija Zadaća dostupna je učiteljima i učenicima kako bi se na jednom mjestu objedinile sve aktivnosti povezane s nekim zadatkom i kako
bi se omogućilo jednostavno praćenje napretka učenika, davanje povratnih informacija učenicima i vođenje statistike za cijeli razred i svakog pojedinog učenika. Višegodišnje iskustvo u nastavi s obrazovnom mrežom Edmodo i nešto kraće iskustvo u radu s aplikacijom Teams, omogućilo je uočavanje nekih razlika, prednosti i nedostataka. Budući da
je trenutna generacija učenika koristila Edmodo i Teams, pojavila se ideja da se provede istraživanje kako bi se dobio uvid u to kako učenici
doživljavaju rad s Zadaćama na Edmodu i Teamsu. U ovom radu opisuje se provedeno istraživanje, predstavlja analiza rezultata i prikazuju se zaključci do kojih je dovelo istraživanje. Uz to, rad sadržava usporedbu
mogućnosti Zadaća na Edmodu i Teamsu gledano s pozicije učitelja.
The paper will compare the possibilities of Assignments in MS Teams and Edmo-do, viewed from the position of teachers and students. An online research on the application of the Possibilities task will be presented in the teaching of informatics, both during school teaching and during distance learning, which was conducted in December 2020 among sixth and seventh grade II students. elementary school Čakovec in order to get feedback on the application of these possibilities, seen by students. Participation in the survey was anonymous and was conducted through an online questionnaire created using a Google form. The questions were related to the teaching of informatics and the application of the Tasks.
The Task option is available to teachers and students to bring together
all the activities related to a task in one place and to allow easy monitoring of student progress, giving feedback to students and keeping statistics for the whole class and each individual student. Many years of teaching experience with the Edmodo educational network and a somewhat shorter experience working with the Teams application, made it possible to notice some differences, advantages and disadvantages. Because the current generation of students used Edmodo and Teams, the idea arose to conduct research to gain insight into how students experience working with Tasks on Edmodo and Teams. This paper describes the conducted research, presents an analysis of the results and presents
the conclusions reached by the research. In addition, working with-states compares the task assignments on Edmod and Teams viewed from
a teacher's position.
Cilj rada je istražiti stupanj znanja studenata o informatici okoliša. Istraživanje obuhvaća veliki uzorak studenata koji su anonimni a odgovorili su na svih 10 pitanja iz ankete koja se odnose na ...informatiku okoliša. Rezultati ankete statistički su analizirani čime je stvorena osnova za zaključivanje o razini znanja studenata tehničkog područja o informatici okoliša. Rezultati nisu zadovoljavajući pa je istraživanje prošireno i na njihove sveučilišne nastavnike da bi se istražio uzrok postignutih rezultata. Istraživanje je pokazalo da se premalo koriste metode i algoritmi za upravljanje podacima kao što su strukture podataka, rudarenje i pohranjivanje podataka, te posebne statističke metode i algoritmi za modeliranje poslovnih pravila za prikupljanje i upravljanje podacima. Uloga velikih skupova podataka (eng. big data) u promatranom području je značajna zbog česte pojave vremenskih serija u podacima i metode komparacije promatranih sustava post hoc analize kada rudarenje podataka nije dostupno, a posebno kada se želi prepoznati uzorak ponašanja promatranih sustava i njihovih komponenata.
Spinning up ServiceNow Kahlout, Gabriele
2017, 2017-03-10T00:00:00, 2017-03-10, 2017.
eBook
Learn how to onboard ServiceNow ITSM tools by evangelizing, educating, and coordinating your organization's service desk, developers, and stakeholders. Drawing on his own story of lessons learned in ...spinning up the adoption of ServiceNow throughout the Al Jazeera Media Network, application architect Gabriele Kahlout shows IT service managers how to launch automated ServiceNow ticketing tools in seamless integration with their organization's existing email and Active Directory.Spinning Up ServiceNow: IT Service Managers' Guide to Successful User Adoption shows you how to orchestrate your IT service desks and developers to facilitate the adoption and consumption of IT services by all users, supporting their various business needs while optimizing human-computer interaction and minimizing stress and productivity loss arising from poor human-system design.What You'll LearnQuick-start ServiceNow in a matter of days with the minimum configuration required to start processing tickets via emailAvoid the teething problems that can spoil your users’ onboarding experience with ServiceNowAutomate the process of scaling up new teams into ServiceNowShape your users' experiences so that they retain their familiar bearings in email and Active Directory while welcoming the power of ServiceNow enhancementsCreate a strategy to avoid common pitfalls that sabotage ITSM programsWho This Book Is For IT managers charged with implementing ServiceNow ITSM suites in their organizations and business analysts determining the requirements for such implementation. The secondary readership is system administrators and developers involved in ITSM.
Learning and teaching of sorting algorithms are very challenging for students and teachers as well. The issues are more highlighted in the online form of teaching which was the only form of schooling ...from March to June of the school year 2019/2020 in Croatia due to the COVID-19 pandemic. The use of visualization tools could be used for lowering the abstraction of complex programming concepts such as sorting algorithms. We conducted research among two high-school classes (n=52) in one science and mathematics high school while teaching sorting algorithms during online schooling. In the experimental group, we used visualization tools VisuAlgo and Python Tutor for teaching sorting algorithms and their implementation in Python as well. We examined students’ attitudes towards programming and online teaching as well. We present the results of the research in this paper.
análise das ideias do pesquisador soviético Alexander Ivanovich Mikhailov (1905-1988) sobre as novas tecnologias e seu papel e impacto na sociedade contemporânea e na Ciência da Informação. A ...pesquisa baseou-se em levantamento bibliográfico e revisão de literatura em periódicos russos, norte americanos e europeus, centralizados na produção bibliográfica de Mikhailov no período entre 1977 e 1986. Inicialmente, o artigo fez breve análise histórica sobre o desenvolvimento da Ciência da Informação e da Ciência da computação na antiga União Soviética. Posteriormente, o trabalho discorreu sobre a abordagem de Mikhailov sobre as novas tecnologias, apresentando aspectos teóricos sobre a relação da Ciência da Informação com essas tecnologias, e dos projetos e iniciativas de automação e mecanização da informação científica na antiga União Soviética. A pesquisa identificou que a abordagem de Mikhailov a essas temáticas mostrou-se coerente e apresentou consistência, mesmo que, em algumas partes, tenha-se percebido um inevitável envelhecimento.
Provođenje zdravstvene njege u bolnicama i dobra organizacija temelje se na dobro obrazovanoj i kompetentnoj medicinskoj sestri. Ona može bitno utjecati na uspješnost sveukupnog liječenja koje ima ...stručne i financijske učinke. Informatika u sestrinstvu kao specijalnost koja integrira sestrinsku, kompjutersku i informatičku znanost primijenjenu u menadžmentu sestrinstva i prijenosu podataka, informacija i znanja u sestrinskoj praksi olakšava njihovu integraciju kao potporu sudionicima u odlučivanju i provođenju zdravstvene njege. Informatika naglašava cjelokupnu sestrinsku praksu i sve medicinske sestre bi trebale imati osnovne informatičke vještine. U radu je prikazano korištenje jednostavnih tablica izrađenih u programima Microsoft Office: Excel i Word koje, više od desetljeća, olakšavaju organizaciju dnevnog rada, praćenja bolesnika i njihove propisane terapije. Educirana sestra-menadžer će znati i moći procijeniti potrebe bolesnika za zdravstvenom njegom i sukladno tome organizirati pružanje zdravstvene njege koristeći dostupne ljudske i tehničke resurse. Vizija nacionalnog zdravstvenog sustava još uvijek nije dostižna zbog nedostatne infrastrukture. Sestrinska informatička dokumentacija o kroničnom bubrežnom bolesniku može značajno doprinijeti kvaliteti zbrinjavanja i liječenja.
PDF
