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Pairwise Comparison in Human-Oriented Science and Artificial Intelligence

Explore the concept of pairwise comparisons and their application in human-oriented science, AI, and value surveys. Discover the potential attributes and practical use cases of this method in recommendation systems.

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Pairwise Comparison in Human-Oriented Science and Artificial Intelligence

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  1. Multidimensional pairwise comparison – the idea of human-oriented science in the light of artificial intelligence and value surveys– Balogh Anikó, Pitlik László, Szani Ferenc Apertus Nonprofit Kft. Magyar Tudomány Ünnepe / Emberközpontú tudomány - Tomori Pál Főiskola – Budapest – 2017.11.21

  2. MOTTO • „Science is what we understand well enough to explain to a computer. Art is everything else we do.” (Knuth, 1992 – Stanford, LCSI) Donald Ervin Knuth (1938-) professor emeritusStanford University. He created the language TeX.

  3. Pairwise comparisons • Pairwise comparison generally is any process of comparing entities in pairs to judge which of each entity is preferred, or has a greater amount of some quantitative property, or whether or not the two entities are identical. • „Whichone is more importantforyou? A or B?” • The method of pairwise comparison is usedin: • preferences, attitudes,housing market,voting systems, social choice, public choice, requirements engineering and multiagent AI systems. (https://en.wikipedia.org/wiki/Pairwise_comparison)

  4. Basic parameters

  5. Potentialattributes • Index Nr.1. - PartialityIndex Nr.2. – Multiple answersIndex Nr.3. – Chaos potential I.Index Nr.4. – Chaos potential II.Index Nr.5. – Lack of opinionsIndex Nr.6. – Sameness indexIndex Nr.7. – STD-DEVIndex Nr.8. – Inconsistent object islands Index Nr.9. – Rationality of islandsIndex Nr.10. – Rational islandsIndex Nr.11. –Independent islandsIndex Nr.12. – Independent islandsIndex Nr.13. – Corrupted chains

  6. Identifyingsameness

  7. Applicationinpractice • Collaborative content recommendation system • Reference: Bozóki’s (2006) description of Brain Farm • Brain Farm – collaborative knowledge management system of the Hungarian academia • Recommendations based on: • Keywords • Activities • Evaluations by users

  8. Recommendationsystembypairwisecomparisons • Users preferences of study programs, literature, online communities, fora, etc. • Users (students) compare two items, see above • Their opinions’ consistency becomes clear • When is it not consistent? • E.g. they claim, that two study programs, which are the same, are different = obviously this evaluation is false • Or the user has no opinion, no knowledge about a certain pair

  9. Example

  10. Thankyouforyourattention!Details:http://miau.gau.hu/miau/231/mtu2017/ertekkutatas_mtu_2_full_en_1108.docx​Thankyouforyourattention!Details:http://miau.gau.hu/miau/231/mtu2017/ertekkutatas_mtu_2_full_en_1108.docx​

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