Uttam Singh Bist ¹, Manish Kumar ¹, Anupam Baliyan ¹, Vishal Jain ¹

Affiliations
1 Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi – 110063, IN

Abstract

Objective: To modernize a system that can bring its own decision independently. Methodology: In this paper, we are projecting a novel model of the cognitive learning process using similar to the human learning technique. Findings: We have proved here that the relationship between two individuals may change their judgment in the same surroundings. Many researchers and scientists are working together over than six decades to develop an intelligence system as a human. Decision making is not so elementary. Each and every decision depends upon prior knowledge and decisions. With a slight change in nature may change the decision from pros to cons, from good to bad. In such a dynamic environment, we need to develop some dynamic system that can change the decision accordingly to the environment. Game theory plays an important role to handle such dynamic decision making in this world. We make decisions and learn through the observations and experience and then store the observed or concluded results into our knowledge base. Learning makes us more powerful to produce a sound determination. Rule based systems define the relationship between a person to another, then that decision does efficiently and consequently to the kinship. Application: This paper introduces a new version of thinking capability of machine in dynamic nature using game theory. We trust that this paper will require a revolution in sound system design and clay sculpture.

Keywords

Cognitive Computation, Cognitive Decision, Cognitive Learning, Cognitive Learning Process; Decision Based Cognitive Learning, Decision Based Learning, Strategic Game Theory.

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Anirudh Khanna ¹, Bhagwan Das ², Bishwajeet Pandey ³, DMA Hussain ⁴, Vishal Jain ⁵

Affiliations
1 Chitkara University, Kalu Jhanda - 174103, Himachal Pradesh, IN
2 University Tun Hussein Onn Malaysia, MY
3 Gyancity Research Lab, IN
4 Aalborg University Denmark, DK
5 Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi – 110063, IN

Abstract

Objectives: With the advent of AI and IoT, the idea of incorporating smart things/appliances in our day to day life is converting into a reality. The paper discusses the possibilities and potential of designing IoT systems which can be controlled via natural language, with help of Quick Script as a development platform. Methods/Statistical Analysis: Quick Script (or QS) is an open-source, easy to learn tool made by our team of student developers for programming virtual conversational entities. This paper focuses on a discussion about how some improvements can be made in the underlying implementation of QS and the resulting uncomplicated and simple platform which can be used to create natural language based IoT systems. It explores the architecture/design pattern required for creating such systems. Findings: This exploration reveals how the idea of turning a simple NLP tool to handling IoT systems can be implemented, and where all the necessary changes/ additions are to be made. The benefits of this will include sharing the power of controlling and even programming (up to some extent) to the user end. As well as providing a simple intermediary to make communication between man and his machines a little more natural. Application/Improvements: It has always been a fantasy in movies to have appliances and gadgets work according to our speech inputs in real time. We humans have always tried to take complete advantage of technologies for living better and working more productively. The idea behind this paper drives for the same cause. Applications of any natural language based service can be endless–ranging from home to industry. With the speech based interaction, this will even help the physically disabled people.

Keywords

Artificial Intelligence, Internet of Things, Natural Language Processing, Quick Script, Smart Devices.

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Usha Yadav ¹, Gagandeep Singh Narula ², Neelam Duhan ³, Vishal Jain ⁴, B. K. Murthy ¹

Affiliations
1 Centre for Development of Advanced Computing (CDAC), B-30 Noida - 201307, Uttar Pradesh, IN
2 Computer Science and Engineering, Centre for Development of Advanced Computing (CDAC), B-30, Noida - 201307, Uttar Pradesh, IN
3 Department of Computer Engineering, YMCA University of Science and Technology, Faridabad - 121006, Haryana, IN
4 Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi -110063, IN

Abstract

Background/Objectives: The research aims to explore differences among various ontology development tools, its languages; finally developed and visualized ontology on specific domain. Methods/Analysis: Railway Enquiry System (RES) ontology is being developed with the help of Protege tool and visualized using TGViz tab. It involves creation of various classes and their instances so that a person can find references to its query. Findings: The following manuscript makes readers aware of concept of Semantic Web because the search performed by today's search engines is based on keyword extraction technique which leads to irrelevant and incomplete results marked with low precision and high recall. Developed ontology depicts real world scenario of railway reservation system. With this ontology, a person can check its seat availability, train fare details, PNR status and many more. Improvements/Applications: The given ontology can be extended to develop railway tracking web based application using Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL).

Keywords

Ontology, Ontology Tools and Languages, Protege, Semantic Web

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