Results 211 to 220 of about 19,334 (259)
In Silico identification of inhalable small-molecule IL-33/ST2 antagonists for severe type-2-high asthma endotypes. [PDF]
Sci RepSun G, Liu Q, Yu M, Han K, Huang L.
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Uncovering the antiproliferative potential of Lobophytum pauciflorum metabolites through chemoinformatics and in vitro approaches. [PDF]
Sci RepAlassass AA +5 more
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Will human-like machines make human-like mistakes?
Behavioral and Brain Sciences, 2017AbstractAlthough we agree with Lake et al.'s central argument, there are numerous flaws in the way people use causal models. Our models are often incorrect, resistant to correction, and applied inappropriately to new situations. These deficiencies are pervasive and have real-world consequences.
Evan J, Livesey +2 more
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Recommender Interfaces: The More Human-Like, the More Humans Like
2016Social robots, when used for information providing, are able to affect humans’ trustworthiness and willingness to interact with them. In this work, we conducted an experimental study aimed at observing if the users’ acceptance of recommendations, as well as their engagement in the interaction, is elicited when using a humanoid robot with respect to a ...
Mariacarla Staffa, Silvia Rossi 0002
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Human-Like Machine Intelligence
2021In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society. This book addresses the leading edge of research in this area. The research described aims to address present incompatibilities of Human and Machine reasoning and learning approaches.
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Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018
Anthropomorphic robots, or robots with human-like appearance features such as eyes, hands, or faces, have drawn considerable attention in recent years. To date, what makes a robot appear human-like has been driven by designers» and researchers» intuitions, because a systematic understanding of the range, variety, and relationships among constituent ...
Elizabeth Phillips +3 more
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Anthropomorphic robots, or robots with human-like appearance features such as eyes, hands, or faces, have drawn considerable attention in recent years. To date, what makes a robot appear human-like has been driven by designers» and researchers» intuitions, because a systematic understanding of the range, variety, and relationships among constituent ...
Elizabeth Phillips +3 more
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Towards More Human-Like Episodic Memory for More Human-Like Agents
2009Episodic memory (EM) is an umbrella term for memory systems that operate with representations of personal history of an entity. The content of EM is related to particular places and moments, and connected to subjective feelings and current goals. Recently, it has been argued that EM is one of the key components contributing to believability of ...
Cyril Brom, Jirí Lukavský
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2021
The most famous grand challenge for machine intelligence is human-like communication. This chapter explores two problem that need to be solved in order for machines to meet this challenge. The first is the technical difficulties posed by ordinary conversation.
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The most famous grand challenge for machine intelligence is human-like communication. This chapter explores two problem that need to be solved in order for machines to meet this challenge. The first is the technical difficulties posed by ordinary conversation.
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Human-Like Playtesting with Deep Learning
2018 IEEE Conference on Computational Intelligence and Games (CIG), 2018We present an approach to learn and deploy human-like playtesting in computer games based on deep learning from player data. We are able to learn and predict the most "human" action in a given position through supervised learning on a convolutional neural network.
Stefan Freyr Gudmundsson +7 more
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