How to Design an Autonomous Creature Based on Original Artificial Life Approaches

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00203695" target="_blank" >RIV/68407700:21230/12:00203695 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-34422-0_11?LI=true" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-34422-0_11?LI=true</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-34422-0_11" target="_blank" >10.1007/978-3-642-34422-0_11</a>

Jazyk výsledku

angličtina

Název v původním jazyce

How to Design an Autonomous Creature Based on Original Artificial Life Approaches

Popis výsledku v původním jazyce

We introduce new approaches for creating of autonomous agents. The life of agent created by us is very similar to the animal's life in the Nature, which learns autonomously from the simple tasks towards the more complex ones and is inspired in AI, Biology and Ethology. We present our proved design of artificial creature, capable of learning from experience in order to fulfill more complex tasks, which is based mainly on ethology. It integrates several types of action selection mechanisms and learning into one system. The main advantages are in its autonomy, ability to gain all information from the environment and decomposition of the decision space into the hierarchy of abstract actions, which dramatically reduces the total size of decision space. Theagent learns how to exploit the environment continuously, where the learning of new abilities is driven by his physiology, autonomously created intentions, planner and neural network.

Název v anglickém jazyce

How to Design an Autonomous Creature Based on Original Artificial Life Approaches

Popis výsledku anglicky

We introduce new approaches for creating of autonomous agents. The life of agent created by us is very similar to the animal's life in the Nature, which learns autonomously from the simple tasks towards the more complex ones and is inspired in AI, Biology and Ethology. We present our proved design of artificial creature, capable of learning from experience in order to fulfill more complex tasks, which is based mainly on ethology. It integrates several types of action selection mechanisms and learning into one system. The main advantages are in its autonomy, ability to gain all information from the environment and decomposition of the decision space into the hierarchy of abstract actions, which dramatically reduces the total size of decision space. Theagent learns how to exploit the environment continuously, where the learning of new abilities is driven by his physiology, autonomously created intentions, planner and neural network.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

<a href="/cs/project/1M0567" target="_blank" >1M0567: Centrum aplikované kybernetiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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

Beyond Artificial Intelligence: Contemplations, Expectations, Applications:Topic in Intelligent Engineering and Informatics

ISBN

978-3-642-34422-0

ISSN

2193-9411

e-ISSN

—

Počet stran výsledku

20

Strana od-do

161-180

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Plzeň

Datum konání akce

8. 12. 2011

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000313206700011