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Casey C. Bennett
This paper discusses the creation of an agent-based simulation model for interactive robotic faces, built based on data from physical human?robot interaction experiments, to explore hypotheses around how we might create emergent robotic personality trait...
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Zhandos Kegenbekov and Ilya Jackson
Adaptive and highly synchronized supply chains can avoid a cascading rise-and-fall inventory dynamic and mitigate ripple effects caused by operational failures. This paper aims to demonstrate how a deep reinforcement learning agent based on the proximal ...
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Rafael C. Cardoso and Angelo Ferrando
Intelligent and autonomous agents is a subarea of symbolic artificial intelligence where these agents decide, either reactively or proactively, upon a course of action by reasoning about the information that is available about the world (including the en...
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Vitalii Martovytskyi, Oleksandr Ivaniuk
Pág. 43 - 51
Today, the problem of navigation of autonomous mobile systems in a space where disturbances are possible is urgent. The task of finding a route for a mobile robot is a complex and non-trivial task. At the moment, there are many algorithms that allow you ...
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Shih-Hsien Tseng and Tien Son Nguyen
In the ?Age of the Internet?, fake news and rumor-mongering have emerged as some of the most critical factors that affect our online social lives. For example, in the workplace, rumor spreading runs rampant during times when employees may be plagued with...
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