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Description
  • Adaptability is a fundamental property of any intelligent system. In this paper, we present how adaptability in multi-agent systems can be implemented by means of collaborative logic-based learning. The proposed method is based on two building blocks: (1) a set of operations centred around inductive logic programming for generalizing agents' observations into sets of rules, and (2) a set of communication strategies for sharing acquired knowledge among agents in order to improve the collaborative learning process. Using these modular building blocks, several learning algorithms can be constructed with different trade-offs between the quality of learning, computation and communication requirements, and the disclosure of the agent's private information. The method has been implemented as a modular software component that can be integrated into the control loop of an intelligent agent.
  • Adaptability is a fundamental property of any intelligent system. In this paper, we present how adaptability in multi-agent systems can be implemented by means of collaborative logic-based learning. The proposed method is based on two building blocks: (1) a set of operations centred around inductive logic programming for generalizing agents' observations into sets of rules, and (2) a set of communication strategies for sharing acquired knowledge among agents in order to improve the collaborative learning process. Using these modular building blocks, several learning algorithms can be constructed with different trade-offs between the quality of learning, computation and communication requirements, and the disclosure of the agent's private information. The method has been implemented as a modular software component that can be integrated into the control loop of an intelligent agent. (en)
  • Článek navrhuje a popisuje metodu pro skupinové učení v multi-agentních systémech. Metoda je založena na logických reprezentacích a staví na dvou hlavních komponentách: (1) skupině učebních operací vycházejících z induktivního logického programování (ILP) a (2) souboru komunikačních strategií pro sdílení získané znalosti. Na základě těchto dvou komponent je navrženo několik skupinových učících algoritmů lišících se kvalitou učení, výpočetními a komunikačními nároky a práci s privátní znalostí jednotlivých agentů. Navržená metoda byla implementována jako softwarový modul, jenž může být integrován do řídící smyčky agenta. Metoda byla experimentálně ověřena a vyhodnocena na simulovaném logistickém scénaři, ve kterém se týmy obchodujících agentů učí vlastností prostředí a tím optimalizují svou činnost. (cs)
Title
  • Collaborative Learning with Logic-Based Models
  • Collaborative Learning with Logic-Based Models (en)
  • Skupinové učení s logickými reprezentacemi (cs)
skos:prefLabel
  • Collaborative Learning with Logic-Based Models
  • Collaborative Learning with Logic-Based Models (en)
  • Skupinové učení s logickými reprezentacemi (cs)
skos:notation
  • RIV/68407700:21230/08:03142518!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770038)
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
  • 360347
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:03142518
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • intelligent system; logic-based learning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6C1E0810EA5F]
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...v/pocetStranKnihy
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Jakob, Michal
  • Pěchouček, Michal
  • Tožička, Jan
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-540-77947-6
http://localhost/t...ganizacniJednotka
  • 21230
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