Analytic hierarchy process in artificial life model based on fuzzy cognitive maps

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50005427" target="_blank" >RIV/62690094:18450/18:50005427 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3233/AIS-180480" target="_blank" >http://dx.doi.org/10.3233/AIS-180480</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/AIS-180480" target="_blank" >10.3233/AIS-180480</a>

Result language
angličtina
Original language name
Analytic hierarchy process in artificial life model based on fuzzy cognitive maps
Original language description
The paper describes a new approach to the modeling of individual-based artificial life models based on fuzzy cognitive maps (FCMs). The proposed concept focuses on the optimization of the artificial intelligence of individuals in multi-agent models and their adaptation to an environment. The emphasis is put on the decision-making method. FCMs offer great complexity and may be extended for learning through evolutionary algorithms. However, large FCMs suffer from high computational performance issues. This paper presents the possibility of replacing the decision-making part of an FCM with the analytic hierarchy process (AHP) method, which is widely used for decision support. Some sections in FCMs are often unused or insignificant for individuals’ behavior. Since AHP needs fewer inputs to make decisions on the same set of possible actions, this approach offers lower demands but also fewer possibilities for the development of behavior. This paper describes a transformation of an FCM into a combination of both these methods (FCM-AHP) and tests strengths and weaknesses of the approaches in the artificial life model. In comparison to the larger FCM, FCM-AHP provides a model with significantly lower computational demands while keeping nearly the same complexity.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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