Artificial Satisfaction – The Brother of Artificial Intelligence

Artificial Satisfaction – The Brother of Artificial Intelligence

satish_gajawada

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Satish Gajawada

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Hassan M. H. Mustafa

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Indian Institute of Technology Roorkee

Artificial Satisfaction – The Brother of Artificial Intelligence

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Abstract

A new field titled “Artificial Satisfaction” is introduced in this article. “Artificial Satisfaction” will be referred to as “The Brother of Artificial Intelligence” after the publication of this article. A new algorithm titled “Artificial Satisfaction Algorithm (ASA)” is designed and implemented in this work. For the sake of simplicity, Particle Swarm Optimization (PSO) Algorithm is modified with Artificial Satisfaction Concepts to create the “Artificial Satisfaction Algorithm (ASA).” PSO and ASA algorithms are applied on five benchmark functions. A comparision is made between the results obtained. The focus of this paper is more on defining and introducing “Artificial Satisfaction Field” to the rest of the world rather than on implementing complex algorithms from scratch.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

satish_gajawada. 2020. \u201cArtificial Satisfaction – The Brother of Artificial Intelligence\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 20 (GJCST Volume 20 Issue D1).

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GJCST Volume 20 Issue D1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-D Classification I.2.m

Submission ReceivedDecember 9, 2019
Peer Review Double Blind
Handling Editor
Accepted January 2, 2020
Published January 15, 2020

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v1.2

Issue date

June 8, 2020

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