The ES could probably know more: But man would not make better business decisions

Zoltán Baracskai, Jolán Velencei, Viktor Dörfler

Research output: Contribution to conferencePaper

Abstract

We know for a long time that expert system (ES) must not know in a different way than how man knows. We would not expect men to adapt their thinking processes to the machine, would we? Evolution would not let peoples' minds adopt criteria weighting or fuzzy logic. This is why we developed our Doctus1 knowledge-based expert system based on symbolic logic ? that is the easiest to understand artificial knowledge representation to the decision taker. However, this is all history now... Now we perhaps understand decision takers better ? maybe it was worth observing them for nearly two decades. Decision takers, and we mean only the most experienced ones, want to be able to play around a bit with a particular decision and, eventually, they want some help in delegating the decisions they are bored with.
LanguageEnglish
Publication statusPublished - 9 Oct 2007
EventVIPSI - Bled, Slovenia
Duration: 8 Oct 200711 Oct 2007

Conference

ConferenceVIPSI
CityBled, Slovenia
Period8/10/0711/10/07

Fingerprint

Expert system
Fuzzy logic
Weighting
Knowledge-based
Logic
Knowledge representation

Keywords

  • expert system (ES)
  • thinking processes
  • fuzzy logic
  • knowledge-based expert system
  • symbolic logic
  • decision takers
  • delegating
  • decision support system
  • Doctus

Cite this

Baracskai, Z., Velencei, J., & Dörfler, V. (2007). The ES could probably know more: But man would not make better business decisions. Paper presented at VIPSI, Bled, Slovenia, .
Baracskai, Zoltán ; Velencei, Jolán ; Dörfler, Viktor. / The ES could probably know more : But man would not make better business decisions. Paper presented at VIPSI, Bled, Slovenia, .
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Baracskai, Z, Velencei, J & Dörfler, V 2007, 'The ES could probably know more: But man would not make better business decisions' Paper presented at VIPSI, Bled, Slovenia, 8/10/07 - 11/10/07, .

The ES could probably know more : But man would not make better business decisions. / Baracskai, Zoltán; Velencei, Jolán; Dörfler, Viktor.

2007. Paper presented at VIPSI, Bled, Slovenia, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - The ES could probably know more

T2 - But man would not make better business decisions

AU - Baracskai, Zoltán

AU - Velencei, Jolán

AU - Dörfler, Viktor

PY - 2007/10/9

Y1 - 2007/10/9

N2 - We know for a long time that expert system (ES) must not know in a different way than how man knows. We would not expect men to adapt their thinking processes to the machine, would we? Evolution would not let peoples' minds adopt criteria weighting or fuzzy logic. This is why we developed our Doctus1 knowledge-based expert system based on symbolic logic ? that is the easiest to understand artificial knowledge representation to the decision taker. However, this is all history now... Now we perhaps understand decision takers better ? maybe it was worth observing them for nearly two decades. Decision takers, and we mean only the most experienced ones, want to be able to play around a bit with a particular decision and, eventually, they want some help in delegating the decisions they are bored with.

AB - We know for a long time that expert system (ES) must not know in a different way than how man knows. We would not expect men to adapt their thinking processes to the machine, would we? Evolution would not let peoples' minds adopt criteria weighting or fuzzy logic. This is why we developed our Doctus1 knowledge-based expert system based on symbolic logic ? that is the easiest to understand artificial knowledge representation to the decision taker. However, this is all history now... Now we perhaps understand decision takers better ? maybe it was worth observing them for nearly two decades. Decision takers, and we mean only the most experienced ones, want to be able to play around a bit with a particular decision and, eventually, they want some help in delegating the decisions they are bored with.

KW - expert system (ES)

KW - thinking processes

KW - fuzzy logic

KW - knowledge-based expert system

KW - symbolic logic

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M3 - Paper

ER -

Baracskai Z, Velencei J, Dörfler V. The ES could probably know more: But man would not make better business decisions. 2007. Paper presented at VIPSI, Bled, Slovenia, .