All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Agent’s Feedback in Preference Elicitation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F21%3A00555371" target="_blank" >RIV/67985556:_____/21:00555371 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00073" target="_blank" >http://dx.doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00073</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00073" target="_blank" >10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00073</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Agent’s Feedback in Preference Elicitation

  • Original language description

    A generic decision-making (DM) agent specifies its preferences partially. The studied prescriptiveDMtheory, called fully probabilistic design (FPD) of decision strategies, has recently addressed this obstacle in a new way. The found preference completion and quantification exploits that: IFPD models the closed DM loop and the agent’s preferences by joint probability densities (pds), Ithere is a preference-elicitation (PE) principle, which maps the agent’s model of the state transitions and its incompletely expressed wishes on an ideal pd quantifying them. The gained algorithmic uantification provides ambitious but potentially reachable DM aims. It suppresses demands on the agent selecting the preference-expressing inputs. The remaining PE options are: Ia parameter balancing exploration with exploitation, Ia fine specification of the ideal (desired) sets of states and actions, Irelative importance of these ideal sets. The current paper makes decisive steps towards a systematic and realistic choice of such inputs by solving a meta-DM task. The algorithmic “meta-agent” observes the user’s satisfaction, expressed by school-type marks, and tunes the free PE inputs to improve these marks. The solution requires a suitable formalisation of such a meta-task. This is done here. The proposed way copes with the danger of infinite regress and the imensionality curse. Non-trivial simulations illustrate the results.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LTC18075" target="_blank" >LTC18075: Distributed rational decision making: cooperation aspects</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    International Conference on Ubiquitous Computing and Communications and International Symposium on Cyberspace and Security (IUCC-CSS) 2021

  • ISBN

    978-1-6654-6667-7

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    421-429

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Piscataway

  • Event location

    London

  • Event date

    Dec 20, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000803071400058