Ethology-Inspired Advanced Problem Solving Mechanism

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00195389" target="_blank" >RIV/68407700:21230/12:00195389 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Ethology-Inspired Advanced Problem Solving Mechanism
Original language description
Presented topic is from the research field called Artificial Life (ALife), but contributes also to the field of Artificial Intelligence (AI). We have built a new architecture of autonomous agent. Our agent is capable of fully autonomous learning. The course of learning is similar to newly born animal. The agent learns everything itself, from basic tasks towards the more complex knowledge. This newly gained knowledge is stored in the hierarchy of abstract actions. The main innovation in our approach canbe seen in our new way how to implement hybrid hierarchical planner. This planner combines Reinforcement Learning (RL) and classical planning. The resulting hierarchical planner is domain independent, because it is capable to adapt itself to the given domain. We have tested this on the artificial agent within the virtual simulation environment.
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
POSTER 2012 - 16th International Student Conference on Electrical Engineering
ISBN
978-80-01-05043-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
Czech Technical University in Prague
Place of publication
Praha
Event location
Prague
Event date
May 17, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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