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發佈日期 2018-07-18
公告標題 人機智慧共創 演講公告:Knowledge Representation for General Problem-Solving Systems and Robots
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人機智慧共創-國立政治大學高教深耕拔尖計畫  人工智慧學術交流

時間:2018年7月27日 10:00-11:00

地點:理學院會議室

演講者:Professor Michael Thielscher

演講題目:Knowledge Representation for General Problem-Solving Systems and Robots

摘要:A general problem-solving robot is able to understand the representation of a new task and successfully tackle it without human intervention. This requires architectures for cognitive robotics that integrate symbolic and sub-symbolic representations. I will present a formal framework for the design of control hierarchies along with an instantiation for a real Baxter robot that combines high-level reasoning and planning with a physics simulator and low-level control nodes for motors and sensor processing. As an example of a general problem representation technique, I will present and discuss a formal language for describing so-called epistemic games to a general problem-solving system. These are characterised by rules that depend on what players can and cannot deduce from the information they get during gameplay.

報名網址: http://bit.ly/thielscherRegistration2018