392241 Applied Cognitive Computing: Mental Modeling for Cooperative Agents (S) (WiSe 2018/2019)

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Building upon the theoretical methods discussed in the lecture "Cognitive Computing: Reasoning and Decision Making under Uncertainty", this seminar provides further insight about practical methods and applications of sequential decision Making and Reinforcement Learning for assistive cooperative agents. In particular, we will learn how agents can use modern Bayesian inference about the mental states of other agents to support them in exploring and navigating unknown environments. The seminar will first take a closer look at the theoretical basis of the underlying inference and decision-making models and methods (for both the exploring and the assisting agent), before participants will have the chance to implement and test solutions in the second half of the semester.

Requirements for participation, required level

Lecture "Reasoning and Decision Making unter Uncertainty"

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Module Course Requirements  
39-Inf-KR Cognitive Computing / Kognitives Rechnen Angewandtes Kognitives Rechnen Student information
39-M-Inf-VKI Vertiefung Künstliche Intelligenz Spezielle Themen der Künstlichen Intelligenz Graded examination
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Registered number: 16
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WS2018_392241@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Monday, June 25, 2018 
Last update times:
Thursday, July 19, 2018 
Last update rooms:
Thursday, July 19, 2018 
Type(s) / SWS (hours per week per semester)
S / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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135109752