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Description
  • Episodic Memory (EM) abilities are important for many types of intelligent virtual agents (IVAs). However, the few IVA EM systems implemented to date utilize indexed logs of events as the underlying memory representation, which makes it hard to model some crucial facets of human memory, including hierarchical organization of episodes, reconstructive memory retrieval, and encoding of episodes with respect to previously learnt schemata. Here, we present a new general framework for EM modeling, DyBaNeM, which capitalizes on bayesian representation and, consequently, enables modeling these (and other) features easily. By means of a proof-of-concept implementation, we demonstrate that our approach to EM modeling is promising, at least for domains of moderate complexity.
  • Episodic Memory (EM) abilities are important for many types of intelligent virtual agents (IVAs). However, the few IVA EM systems implemented to date utilize indexed logs of events as the underlying memory representation, which makes it hard to model some crucial facets of human memory, including hierarchical organization of episodes, reconstructive memory retrieval, and encoding of episodes with respect to previously learnt schemata. Here, we present a new general framework for EM modeling, DyBaNeM, which capitalizes on bayesian representation and, consequently, enables modeling these (and other) features easily. By means of a proof-of-concept implementation, we demonstrate that our approach to EM modeling is promising, at least for domains of moderate complexity. (en)
Title
  • DyBaNeM: Bayesian Episodic Memory Framework for Intelligent Virtual Agents
  • DyBaNeM: Bayesian Episodic Memory Framework for Intelligent Virtual Agents (en)
skos:prefLabel
  • DyBaNeM: Bayesian Episodic Memory Framework for Intelligent Virtual Agents
  • DyBaNeM: Bayesian Episodic Memory Framework for Intelligent Virtual Agents (en)
skos:notation
  • RIV/00216208:11320/13:10172793!RIV14-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP103/10/1287), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 70848
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/13:10172793
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Dialog; Dynamic Bayes Networks; Episodic Memory (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0A85A2358778]
http://linked.open...v/mistoKonaniAkce
  • Edinburgh, UK
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Brom, Cyril
  • Kadlec, Rudolf
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-40415-3_2
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-40414-6
http://localhost/t...ganizacniJednotka
  • 11320
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