International Journal of Man-Machine Studies
Fuzzy engineering
Simple Computation-Universal Cellular Spaces
Journal of the ACM (JACM)
Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps
Information Sciences: an International Journal
Benchmarking main activation functions in fuzzy cognitive maps
Expert Systems with Applications: An International Journal
Genetic learning of fuzzy cognitive maps
Fuzzy Sets and Systems
Virtual worlds as fuzzy cognitive maps
VRAIS '93 Proceedings of the 1993 IEEE Virtual Reality Annual International Symposium
Modeling complex systems using fuzzy cognitive maps
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A fuzzy cognitive map approach to differential diagnosis of specific language impairment
Artificial Intelligence in Medicine
A cellular automata model on residential migration in response to neighborhood social dynamics
Mathematical and Computer Modelling: An International Journal
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One of the first decisions to be made when modelling a phenomenon is that of scale: at which level is the phenomenon most appropriately modelled? For some phenomena the answer may seem too obvious to warrant even asking the question, but other phenomena cover the gamut, from high to low levels of abstraction. This paper explores how two modelling approaches that are 'at home' at opposite ends of the abstraction spectrum can be combined to yield an evolutionary modelling approach that is especially apt for phenomena that cover a wide range in this spectrum. We employ fuzzy cognitive maps (FCMs) to model the interplay between high-level concepts, and cellular automata (CA) to model the low-level interactions between individual actors. The combination of these models carries both beyond their respective limitations: the FCM concept is extended beyond the derivation of equilibrium outcomes from static initial conditions, to time-evolving systems where conditions may vary; CA are extended beyond the emergence of patterns from local interactions, to systems where global patterns have local repercussions. The applicability of the methodology is demonstrated by modelling the spread of human immunodeficiency virus (HIV) in an environment in which injection drug users share paraphernalia.