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Information Protection in Cognitive Science


Shahid Naseem, Khalil Ahmed


Vol. 17  No. 3  pp. 1-6


Expert systems being computer systems emulate the decision-making ability of a human expert, these systems have also enable a human to monitor and control security related issues in individual or distributed environment. In these systems encryption techniques are used to secure precious information with objectives such as reduce space requirements for data storage and time for data transmission. In these systems, artificial intelligence supports real-time analysis of security threats. The drawback of encryption techniques is that, the algorithm of encryption techniques may contain some loopholes, which may cause to exploit the information security by an intruder and may damage very sensitive data. To overcome the classical encryption techniques problems, cognitive science has become the inspiration in terms of human-like rationality in decision making and logical functionality. In cognitive science, it is exposed that human mind is not applying any encryption for security purposes, instead, it is using a combination of various cognitive correlates such as intention, perception, motivation and emotions as security and secrecy phenomenon. In cognitive science, it is more appropriate to elaborate cognitive memory functions to attain human like information protection and manipulation for AGI-agents. In this paper, we will discuss cognitive memory functions to attain human-like information protection and manipulation for AGI-agents.


Expert systems, encryption techniques, AGI-agents, sensitivity, effectiveness, emotions, motivation.