Object

Title: Knowledge-Based Solvers for RGT Combinatorial Problems

Co-author(s) :

Hakobyan Nairi ; Baghdasaryan Tadevos

Abstract:

In this work, we present means for usage of RGT (Reproducible Game Trees) Solvers, that include knowledge acquisition, matching and decision making algorithms for RGT problems. The RGT Solvers are being regularly improved and the current implementation tries to cover the drawbacks of previous versions, improves presentation of classifiers and mental doings, as well as provides enhancements in interface. We also discuss ways of knowledge acquisition for marketing and battlefield problems by RGT Solvers.

Identifier:

oai:noad.sci.am:136206

DOI:

10.1109/CSITechnol.2019.8895131

ISBN:

978-1-7281-2859-7

Language:

English

URL:

click here to follow the link

Affiliation:

Division of Computational and Cognitive networks ; Institute for Informatics and Automation Problems of NAS RA ; Department of System Programming RAU

Year:

2019

Time period:

23-27 Sept. 2019

Conference title:

2019 Computer Science and Information Technologies (CSIT)

Place:

Yerevan, Armenia

Object collections:

Last modified:

May 3, 2021

In our library since:

Apr 30, 2021

Number of object content hits:

5

All available object's versions:

https://noad.sci.am/publication/149771

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