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Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advantage. Recent studies suggest that neuromodulatory dynamics are a key factor in reg ...
This study introduces a way to overcome the sensitivity of decision trees used for route choice behavior studies by using fuzzy logic while preserving the advantages of decision trees and the C4.5 algorithm, namely, comprehensibility and ease of applicatio ...
This paper presents an approach to multi-objective signal control using fuzzy logic. The signal control uses fuzzy logic where the membership functions are optimised according to the Bellman-Zadeh principle of fuzzy decision-making. This approach is both p ...
Virtual marketplaces on the Web provide people with great facilities to buy and sell goods similar to conventional markets. In traditional business, reputation is subjectively built for known persons and companies as the deals are made in the course of tim ...
A prominent parameter in dealing with swash and morphological evolution is the runup length or height, defined as the limit of landward sea. Therefore, it is necessary to predict the runup height in this area. In this paper, the abilities of a new Adaptive ...
Maintaining and developing competitive advantages in a constantly changing market require the creation and exploitation of a network of adequate competences. Competence management necessitates both clean formalization and evaluation of the pertinence of co ...
This thesis presents Fuzzy CoCo, a novel approach for system design, conducive to explaining human decisions. Based on fuzzy logic and coevolutionary computation, Fuzzy CoCo is a methodology for constructing systems able to accurately predict the outcome o ...
An application of fuzzy logic based control for power systems governing multiple flexible alternating current transmission system (FACTS) devices is described here. Sufficiently accurate relations have been derived to determine setpoints of FACTS devices u ...
memory in biological neural networks. Similarly, artificial neural networks could benefit from modulatory dynamics when facing certain types of learning problem. Here we test this hypothesis by introducing modulatory neurons to enhance or dampen neural pla ...
Among the driving processes responsible for riparian forest dynamics the species-specific impact of flooding on the development of woody plants plays a key role-particularly for lowland rivers. Only a few of the forest succession models currently in use in ...
