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Description
  • The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model representation. This enables flexible sharing of learned knowledge at different levels of abstraction as well as seamless integration of models created by other agents. A market-inspired mechanism involving knowledge trading is used for inter-agent coordination. This allows for decentralized coordination of learning activity without the need for a central control element. In addition, agents can participate in collaborative learning while pursuing their individual goals and maintaining full control over the disclosure of their private information. Several different types of agents differing in the level and form of knowledge exchange are considered. The mechanism is evaluated using a set of performance criteria on several scenarios in a realistic logistic domain extended with adversary behavior.
  • The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model representation. This enables flexible sharing of learned knowledge at different levels of abstraction as well as seamless integration of models created by other agents. A market-inspired mechanism involving knowledge trading is used for inter-agent coordination. This allows for decentralized coordination of learning activity without the need for a central control element. In addition, agents can participate in collaborative learning while pursuing their individual goals and maintaining full control over the disclosure of their private information. Several different types of agents differing in the level and form of knowledge exchange are considered. The mechanism is evaluated using a set of performance criteria on several scenarios in a realistic logistic domain extended with adversary behavior. (en)
  • Článek popisuje metodu pro skupinové učení založenou na induktivním logickém programování a obchodování se znalostí. (cs)
Title
  • Market Inspired Approach to Collaborative Learning
  • Skupinové učení inspirované tržními mechanismy (cs)
  • Market Inspired Approach to Collaborative Learning (en)
skos:prefLabel
  • Market Inspired Approach to Collaborative Learning
  • Skupinové učení inspirované tržními mechanismy (cs)
  • Market Inspired Approach to Collaborative Learning (en)
skos:notation
  • RIV/68407700:21230/06:03120578!RIV08-MSM-21230___
http://linked.open.../vavai/riv/strany
  • 213;227
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 212300013)
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
  • 484200
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/06:03120578
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • collaboration; communication; learning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [73B41976E2B2]
http://linked.open...v/mistoKonaniAkce
  • Edinburgh
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Cooperative Information Agent X
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Jakob, Michal
  • Pěchouček, Michal
  • Tožička, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 3-540-38569-X
http://localhost/t...ganizacniJednotka
  • 21230
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