Identification of Associations between Cognitive Agents Using Learning Based System
Journal Title: LAHORE GARRISON UNIVERSITY RESEARCH JOURNAL OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY - Year 2017, Vol 1, Issue 2
Abstract
The research is to pronounce the socialization with humans after identification of relationships between cognitive agents recognized with the perspective of focus, selective attention, intention and decision making. Machine learning is used to understand environment complexity, dynamic collaboration, noise, features, domain and range on different parameters. Range of view is an interesting approach for relationship identification with respect to time, distance and face direction in a settled boundary that are trying to answer socialized behavior between those multiple agents. In resultant, the system agent finds friend, best friend and stranger relationships between other agents by using top down approach. The application can play a wonderful role for security purposes, gaming, labs, and intelligence agencies etc.
Authors and Affiliations
WASIM AHMAD KHAN, MUHAMMAD FURQAN KHAN, ZUNAIRA AROOJ, SADIQ AMAR, NABILA ASLAM, NAZISH SATTAR, M AMJAD SHAH, DANIYAL HUSSAIN BUTT
Keywords
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