Համահեղինակ(ներ):

Hakobyan Nairi ; Baghdasaryan Tadevos

Ամփոփում:

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.

Նույնականացուցիչ:

oai:noad.sci.am:136206

DOI:

10.1109/CSITechnol.2019.8895131

ISBN:

978-1-7281-2859-7

Լեզու:

English

URL:

սեղմել այստեղ՝ կապին հետևելու համար

Կազմակերպության անվանում:

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

Տարի:

2019

Ժամանակահատված:

23-27 Sept. 2019

Գիտաժողովի անվանում:

2019 Computer Science and Information Technologies (CSIT)

Վայր:

Yerevan, Armenia