Functional Integration of Human-Like Localization in a Decision Unit for Autonomous Agents

CHRISTIAN, BRANDSTAETTER and KLAUS, DOBLHAMMER and MARTIN, FITTNER (2018) Functional Integration of Human-Like Localization in a Decision Unit for Autonomous Agents. In: Sixth International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, 28-29 April, 2018, Zurich, Switzerland.

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Abstract

Localization is from the purely technical point of view an already solved problem. There are working selflocalization algorithms and a lot of very good navigation algorithms. The aim of this paper is a little bit different. We want to identify the way, how humans do localization. How humans localize themselves and find their way to desired objects. Psychoanalysis is the cornerstone we get our insight into the human brain from. Using this different approach, we will not beat existing navigation systems in speed or performance. This is not our target. What we like to do is, to support psychoanalysis in verifying their theory by implementing a model of the human mind in a technical simulation. In the paper at hand, we describe where the different methods of self-localization and navigation are located within the whole model.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: artificial recognition system, bionic, localization, navigation, psychoanalysis
Depositing User: Mr. John Steve
Date Deposited: 08 Mar 2019 14:54
Last Modified: 08 Mar 2019 14:54
URI: http://publications.theired.org/id/eprint/187

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