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  • This article presents basic mechanisms of cognition working in AGI agent. I argue that reactive behavior is the baseline of intelligence ? it is the base component working and it can be further extended to produce more intelligent agents. Mechanisms employed at reactive level enable the agent to develop behavior which both explores and exploits the environment with the purpose of receiving highest reward possible. Three fundamental mechanisms are intertwined ? action selection, action value estimation and situation discrimination. Whole process of adaptation is completely unsupervised and depends only on reward received from environment. Some technical details of implementation of given mechanisms (BAGIB agent) are described together with implications to other planned parts of ?AGI-compliant? architecture. Discussed are several challenges we encounter in AGI, which are not present in usually narrow and domain-limited approach to AI.
  • This article presents basic mechanisms of cognition working in AGI agent. I argue that reactive behavior is the baseline of intelligence ? it is the base component working and it can be further extended to produce more intelligent agents. Mechanisms employed at reactive level enable the agent to develop behavior which both explores and exploits the environment with the purpose of receiving highest reward possible. Three fundamental mechanisms are intertwined ? action selection, action value estimation and situation discrimination. Whole process of adaptation is completely unsupervised and depends only on reward received from environment. Some technical details of implementation of given mechanisms (BAGIB agent) are described together with implications to other planned parts of ?AGI-compliant? architecture. Discussed are several challenges we encounter in AGI, which are not present in usually narrow and domain-limited approach to AI. (en)
Title
  • Reactive Layer in AGI Agent
  • Reactive Layer in AGI Agent (en)
skos:prefLabel
  • Reactive Layer in AGI Agent
  • Reactive Layer in AGI Agent (en)
skos:notation
  • RIV/49777513:23520/11:43898519!RIV12-MSM-23520___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(ME 949)
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
  • 225775
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/11:43898519
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • AI, AGI, agent architecture, cognitive architecture, reactive agent, situation discrimination (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0F8B8A9D9DEC]
http://linked.open...v/mistoKonaniAkce
  • Řím, Itálie
http://linked.open...i/riv/mistoVydani
  • Setúbal
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  • ICAART 2011
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
  • Beneš, Vilém
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • SciTePress - Science and Technology Publications
https://schema.org/isbn
  • 978-989-8425-40-9
http://localhost/t...ganizacniJednotka
  • 23520
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