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Human-like Heuristics in Scrabble
2009The game of Scrabble has been tackled by computers mainly using simulation [1–4]. This technique has already given very positive results. Nevertheless it fails to resemble human approach of thinking when playing Scrabble. A more human-like approach would be desirable both to test human strategies vs.
Alejandro González Romero +4 more
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Human-like learning in a conscious agent
Journal of Experimental & Theoretical Artificial Intelligence, 2011In this article, we propose the Conscious-Emotional Learning Tutoring System technology, a biologically plausible cognitive agent based on human brain functions. This agent is capable of learning and remembering events and any related information such as corresponding procedures, stimuli and their emotional valences.
Usef Faghihi +3 more
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Task dependent human-like grasping
Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots, 2008In this study we report our preliminary work on investigating task dependent grasping in humans and realization of this skill on a robotic platform. For human data acquisition, subjects were asked to reach and grasp two objects (a claw-hammer and a pen) positioned in four different orientations.
Baris Ozyer, Erhan Öztop
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Modelling trust in human-like technologies
Proceedings of the 9th Indian Conference on Human-Computer Interaction, 2018Trust is an important decision-making construct helping users to adopt and continually use a system. Despite its importance, past research has mainly focused on studying and researching it in technology mediated interactions. As nature of technical artifacts becomes increasingly intelligent and human-like, a theory for explaining and predicting trust ...
Siddharth Gulati +2 more
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ATTACHMENT BONDS FOR HUMAN-LIKE ROBOTS
International Journal of Humanoid Robotics, 2006If robots are to be truly integrated in humans' everyday environment, they cannot be simply (pre-)designed and directly taken "off the shelf" and embedded into a real-life setting. Also, technical excellence and human-like appearance and "superficial" traits of their behavior are not enough to make social robots trusted, believable, and accepted ...
Lola Cañamero +2 more
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Tactile sensor for human-like manipulation
2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2012In this paper the tactile sensor1 recently developed by the authors is experimentally tested in manipulation applications typical of anthropomorphic robotic systems. The paper presents a possible solution for the integration of the sensor in a human-like robotic hand.
DE MARIA, Giuseppe +2 more
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The Computational Gauntlet of Human-Like Learning
Proceedings of the AAAI Conference on Artificial Intelligence, 2022In this paper, I pose a major challenge for AI researchers: to develop systems that learn in a human-like manner. I briefly review the history of machine learning, noting that early work made close contact with results from cognitive psychology but that this is no longer the case.
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The Attributive Logic of “Human-Like” Characteristics
The American Journal of Bioethics, 2014In her thoughtful essay, Monika Piotrowska (2014) asks us to imagine two mice that manifest “the same ‘human-like’ characteristics,” one of which has been treated with cells taken from Homo sapiens...
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Human-like person tracking with an anthropomorphic robot
Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., 2006A very important aspect in developing robots capable of human-robot interaction (HRI) is natural, human-like communication. Besides a flexible dialog system and speech understanding an anthropomorphic appearance has many advantages for intuitive usage and understanding of a robot. As a consequence of our effort in creating an anthropomorphic appearance
Spexard, Thorsten P. +3 more
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Human-Like Context Sensing for Robot Surveillance
International Journal of Semantic Computing, 2018Robot surveillance requires robots to make sense of what is happening around them, which is what humans do with contexts. This is critical when the robots have to interact with people. Thus, the main issue is how to model human-like context to be mapped to robots, so that they can mirror human understanding.
Giunchiglia, Fausto +2 more
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