This HTML5 document contains 46 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n13http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n19http://purl.org/net/nknouf/ns/bibtex#
n4http://localhost/temp/predkladatel/
n9http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n21http://linked.opendata.cz/ontology/domain/vavai/
n14https://schema.org/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n18http://bibframe.org/vocab/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n5http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n20http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n11http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F68407700%3A21230%2F14%3A00218087%21RIV15-MSM-21230___/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n7http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F14%3A00218087%21RIV15-MSM-21230___
rdf:type
skos:Concept n21:Vysledek
dcterms:description
Presented topic is from the research fields called Artificial Life and Artificial Intelligence (AI). In this paper, there is presented novel approach to designing agent architectures with its requiements. The approach in inspired by inherited modularity of biological brains and agent architectures are represented here as set of given reusable modules connected into a particular topology. This paper presents design of two particular modules for future use in more complex architectures. The modules are used for implementing model-free motivation-driven Reinforcement Learning (RL). First, the novel framework for these architectures is described together with a used simulator. Then, the design of two new reusable domain-independent components of agent architectures is described. Finally, expwerimental validation of these new components and their future use is mentioned. Presented topic is from the research fields called Artificial Life and Artificial Intelligence (AI). In this paper, there is presented novel approach to designing agent architectures with its requiements. The approach in inspired by inherited modularity of biological brains and agent architectures are represented here as set of given reusable modules connected into a particular topology. This paper presents design of two particular modules for future use in more complex architectures. The modules are used for implementing model-free motivation-driven Reinforcement Learning (RL). First, the novel framework for these architectures is described together with a used simulator. Then, the design of two new reusable domain-independent components of agent architectures is described. Finally, expwerimental validation of these new components and their future use is mentioned.
dcterms:title
Reusable Reinforcement Learning for Modular Self Motivated Agents Reusable Reinforcement Learning for Modular Self Motivated Agents
skos:prefLabel
Reusable Reinforcement Learning for Modular Self Motivated Agents Reusable Reinforcement Learning for Modular Self Motivated Agents
skos:notation
RIV/68407700:21230/14:00218087!RIV15-MSM-21230___
n3:aktivita
n10:S
n3:aktivity
S
n3:dodaniDat
n7:2015
n3:domaciTvurceVysledku
n9:4022300 n9:4407822
n3:druhVysledku
n12:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
42581
n3:idVysledku
RIV/68407700:21230/14:00218087
n3:jazykVysledku
n15:eng
n3:klicovaSlova
Agent; Architecure; Artifical Life; Creature; Behaviour; Hybrid; Neural Networks; Evolution
n3:klicoveSlovo
n5:Agent n5:Creature n5:Hybrid n5:Artifical%20Life n5:Architecure n5:Neural%20Networks n5:Behaviour n5:Evolution
n3:kontrolniKodProRIV
[C732774C618A]
n3:mistoKonaniAkce
Brescia
n3:mistoVydani
Brusel
n3:nazevZdroje
Proceedings of 28th European Conference on Modeling and Simulation
n3:obor
n16:JC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n7:2014
n3:tvurceVysledku
Vítků, Jaroslav Nahodil, Pavel
n3:typAkce
n13:WRD
n3:zahajeniAkce
2014-05-27+02:00
s:numberOfPages
7
n18:doi
10.7148/2014-0352
n19:hasPublisher
European Council for Modelling and Simulation
n14:isbn
978-0-9564944-8-1
n4:organizacniJednotka
21230