Three-way conceptual approach for cognitive memory functionalities

Shivhare, Radhika; Cherukuri, Aswani Kumar

doi:10.1007/s13042-016-0593-0

Cited by 56 publications

(8 citation statements)

References 38 publications

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“…Learning achievement, that is, knowledge, is stored in short-term and long-term memory [47]- [49]. Short-term memory is a preliminary product of rapid learning; if the short-term knowledge can be proved to correctly represent the world in continuous learning, it will consolidate into longterm knowledge.…”

Section: Proposed Brain-inspired Air Combat Learning System a Cmentioning

confidence: 99%

Learning System for Air Combat Decision Inspired by Cognitive Mechanisms of the Brain

Zhou

Wei

Xu³

2020

IEEE Access

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Unmanned aerial vehicles (UAVs) have played an important role in recent high-tech local wars. Seizing air control rights with UAVs will undoubtedly be a popular topic in future military development. Autonomous air combat is complex, antagonistic and mutable, and consequently, the decision-making that depends on unmanned systems is extremely challenging with very little research having been conducted on it. An intelligent air combat learning system inspired by the learning mechanisms of the brain is proposed in this paper. In accordance with research on learning, knowledge and memory, we constructed a cognitive mechanism model of the brain. Based on this model and the inferential abilities of humans, a long shortterm hierarchical multi-line learning system is established. Then, the bio-inspired architecture and the basic learning principle of the system are clarified. Taking advantage of the conclusions of studies on information theory, the relationship between the knowledge updating cycle and the system learning performance is analysed. The updating cycle length adjustment problem is transformed into an optimization problem optimization problem, and system performance improvement is guaranteed. Experiments show that the system designed in this paper can acquire confrontation abilities through self-learning without prior rules; the parallel universe mechanism can significantly improve the system's learning speed when the number of parallels is within 40, and the performance of the system improves gradually and continuously. The system can master actions similar to classical tactical manoeuvres such as the high yo-yo and the barrel-rollattack without prior knowledge. Compared with the Bayesian inference and moving horizon optimization (BI&MHO) method, the learning system proposed in this paper is more flexible in situation assessment and in the prediction of opponents' actions. Although it cannot be deployed quickly, it has a continuous learning ability. INDEX TERMS Autonomous air combat, bio-inspired, cognitive mechanism, long short-term memory, learning system, unmanned aerial vehicles.

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Section: Proposed Brain-inspired Air Combat Learning System a Cmentioning

confidence: 99%

Learning System for Air Combat Decision Inspired by Cognitive Mechanisms of the Brain

Zhou

Wei

Xu³

2020

IEEE Access

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“…(i) As there exist two cases that fulfill the conditions of eorem 1, i.e., there exist (3, (abd, ce)) ≻ (∅, (abcde, abcde)) and (13, (b, ∅)) ≻ (1, (bce, ad)), we generate two new concepts (13, (be, ∅)) and (3, (abde, c)), respectively, and delete the old concepts (3, (abd, ce)) and (13, (b, ∅)) (ii) As there exist three cases that fulfill the conditions of eorem 3, i.e., there exist (234, (∅, e)), (23, (d, ce)) and (34, (a, e)), we finally generate two new concepts (23, (d, c)) and (34, (a, ∅) respectively, and delete the old concepts (234, (∅, e)), (23 , (d, ce)), and (34, (a, c)) (iii) Update partial orders between concepts where necessary, and the updated object-induced threeway concept lattice OEL(K ′ ) is shown in Figure 2 Continued with the above discussions, if we restore I(3, e) to its original value 0, the updating process is shown as follows:…”

Section: Scientific Programmingmentioning

confidence: 99%

“…Li and Wang [22] proposed three-way approximate concepts under the framework of three-way concept analysis. Shivhare and Cherukuri [23] applied the idea of three-way concept analysis to simulate a cognitive learning process. Mouliswaran et al [24] designed a role-based access control scheme by using three-way formal concept analysis.…”

Section: Introductionmentioning

confidence: 99%

Influences of Three-Way Concept Lattice Caused by Variations of Attribute Values

Huang

2019

Scientific Programming

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Three-way concept lattices have been widely used in various types of applications. As the construction of three-way concept lattices is rather time consuming, especially for large formal contexts, it is not applicable to construct the lattices from the beginning when changes are made to the contexts. Motivated by this problem, the influences of three-way concept lattices caused by variations of attribute values are explored in this study. Specifically, we discuss two types of changes. One is changing the value of a specific incidence relation from 0 to 1, and the other is from 1 to 0. Furthermore, two types of three-way concept lattices are investigated. One is the object-induced three-way concept lattice, and the other is the attribute-induced three-way concept lattice. Both the mathematical proofs and the examples show the effectiveness of our proposed methods.

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“…Studies report that three way concepts can also adapt granular computing techniques to achieve cognition [29]. It is essential for the cognitive systems to establish cognitive relation on the information learned for intelligent behaviour of the system [30], [31]. Further, a quantum theories based conceptual spaces has been proposed for the application of elderly assistance [32].…”

Section: Introductionmentioning

confidence: 99%

Modeling Cognitive Functionalities of Prosthetic Arm using Conceptual Spaces

Ishwarya¹,

Cherukuri²

2019

JAMRIS

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Conceptual space framework is used for representing knowledge in cognitive systems. In this paper, we have adapted conceptual space framework for prosthetic arm considering its cognitive abilities such as receiving signals, recognizing and decoding the signal and responding with the corresponding action in order to develop a conceptual space of the prosthetic arm. Cognitive functionalities such as learning, memorizing and distinguishing configurations of prosthetic arm are achieved via its conceptual space. To our knowledge, this work is the first attempt to adapt the conceptual spaces to model cognitive functionalities of prosthetic arm. Adding to this, we have made use of different notion of concept that reflects the topological structure in concepts. To model the actions of the prosthetic arm functionalities, we have made use of force patterns to represent action. Similarly, to model the distinguishing ability, we make use of the relationship between the attributes conveyed by adapted different notion of concept.

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Three-way conceptual approach for cognitive memory functionalities

Cited by 56 publications

References 38 publications

Learning System for Air Combat Decision Inspired by Cognitive Mechanisms of the Brain

Learning System for Air Combat Decision Inspired by Cognitive Mechanisms of the Brain

Influences of Three-Way Concept Lattice Caused by Variations of Attribute Values

Modeling Cognitive Functionalities of Prosthetic Arm using Conceptual Spaces

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