Biologically Inspired Techniques for Cognitive Decision-Making

被引：0

作者：

Chandiok, Ashish ^{[1
]}

Chaturvedi, D. K. ^{[1
]}

机构：

[1] Dayalbagh Educ Inst, Fac Engn, Agra, Uttar Pradesh, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT 2016, VOL 2 | 2017年 / 469卷

关键词：

Biological; Cognitive; Neural network; Fuzzy; Cognitive map architecture; MAP; SYSTEMS;

D O I：

10.1007/978-981-10-1678-3_34

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, Artificial Biologically Inspired Techniques based on perceptions related to human cognitive decision-making is presented by proposing a novel BICIT (Biologically Inspired Cognitive Information Theory) architecture. These ideas openly associate neuro-biological brain actions that can explain advanced cognitive meanings comprehended by the mind. This architectural model on the one side elucidates inherent complications in human cognitive sciences, clarifying the behaviour of real-world interaction. On the other hand, points to prototypes of mind in the synergism of neural and fuzzy hybrid cognitive map systems. These structures can contend in forecasting, pattern recognition and classification jobs with neural networks and reasoning tasks with the fuzzy cognitive expert decision making.

引用

页码：353 / 361

页数：9

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