Ethology-Inspired Advanced Problem Solving Mechanism

Kód výsledku v 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>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Ethology-Inspired Advanced Problem Solving Mechanism

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Ethology-Inspired Advanced Problem Solving Mechanism

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

POSTER 2012 - 16th International Student Conference on Electrical Engineering

ISBN

978-80-01-05043-9

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

Czech Technical University in Prague

Místo vydání

Praha

Místo konání akce

Prague

Datum konání akce

17. 5. 2012

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—