System Design and Development

Mapping Intimacies ◽

10.4018/978-1-7998-7955-8.ch004 ◽

2022 ◽

pp. 72-86

Keyword(s):

Artificial Intelligence ◽

Natural Language ◽

System Design ◽

Development Process ◽

Service Providers ◽

Design And Development ◽

Language Processor ◽

Intelligence Services ◽

Intelligence Service

This chapter presents the Socrates DigitalTM system's design and development process. It describes the four phases of design and development: understand, explore, materialize, and realize. The completion of these four phases results in a Socrates DigitalTM system that leverages artificial intelligence services. The artificial intelligence services include a natural language processor provided by several artificial intelligence service providers, including Apple, Microsoft, Google, IBM, and Amazon.

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Internet of Things system: Design and development process

Communication and Computing Systems ◽

10.1201/9780429444272-99 ◽

2019 ◽

pp. 607-613

Author(s):

Preeti ◽

Naresh Kumar ◽

Manish Sharma ◽

Vimmi Malhotra

Keyword(s):

Internet Of Things ◽

System Design ◽

Development Process ◽

Design And Development

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XFV-12A Propulsion System Development

Volume 1B: General ◽

10.1115/76-gt-125 ◽

1976 ◽

Cited By ~ 1

Author(s):

J. T. Delany ◽

G. M. Jenkins

Keyword(s):

System Design ◽

Development Process ◽

System Development ◽

Full Scale ◽

Propulsion System ◽

Design And Development ◽

Plug Nozzle ◽

Design Philosophy ◽

Thrust System ◽

Testing And Evaluation

The XFV-12A total powered lift/thrust system being developed under contract for the U. S. Navy is described. The description includes design and development to date of the inlets, engine integration, the diverter valve with plug nozzle, the lift system augmenter supply ducting, and lift/thrust augmenter hardware. The development process description includes system design philosophy and criteria, analysis, test facilities utilized, model and full-scale testing and evaluation.

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Incident management assistant using artificial intelligence chatbots

Scientific Bulletin of Naval Academy ◽

10.21279/1454-864x-19-i1-001 ◽

2019 ◽

Vol XXII (1) ◽

pp. 8-16

Author(s):

Blaj R.

Keyword(s):

Artificial Intelligence ◽

Natural Language ◽

Customer Service ◽

Data Streams ◽

Service Providers ◽

Incident Management ◽

Artificial Intelligent ◽

Weather Forecasts ◽

Platform As A Service ◽

Personal Assistant

The implementation for the concept presented in this paper was inspired by the fact that producers or service providers who want to furnish an extraordinary experience of their product have to be available and to give support 24/7 to their customers. More and more companies are opting for Artificial Intelligent Chatbots as part of their customer service team. This project aims to optimize and automate support for customers using the ServiceNow platform with a chatbot. Customers will have their own personal assistant who will create, delete, or modify the incidents assigned to them, but can also be used for recreational purposes or weather forecasts. Users can communicate with the chatbot using natural language through various chat applications: Skype, Webex Teams or through an intelligent speaker. The objectives that are proposed: illustration of the chatbot concept, illustrating the notion of chatbot through different scenarios, approaches; integration and use of common messaging services; using a platform as a service, named Firebase; create or modify data streams structured as incidents through APIs.

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Dialog Development Manager

10.4018/978-1-7998-7955-8.ch009 ◽

2022 ◽

pp. 197-233

Keyword(s):

Software Development ◽

Natural Language ◽

End Users ◽

Design And Development ◽

Specific Knowledge ◽

Language Processor ◽

Development Professionals ◽

Conversational Interface ◽

Flow Charts ◽

Development Manager

This chapter shows how software development professionals use the provided flow charts and pseudo-code to create the Dialog Development Manager. Analysts then use the Dialog Development Manager to create the problem-specific knowledge needed by a natural language processor to support the conversation between Socrates DigitalTM and end users. The Dialog Development Manager guides the analysts through design and development of the Understand, Explore, Materialize, and Realize phases to create the conversational interface for Socrates DigitalTM.

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Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

Discourse ◽

10.32603/2412-8562-2020-6-3-109-117 ◽

2020 ◽

Vol 6 (3) ◽

pp. 109-117

Author(s):

O. M. Polyakov

Keyword(s):

Artificial Intelligence ◽

Mathematical Logic ◽

Natural Language ◽

Semantic Interpretation ◽

General View ◽

World Model ◽

Semantic Approach ◽

Natural Languages ◽

The World ◽

Linguistic Aspect

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).

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