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This article describes a framework to formally model and analyse human behaviour. This is shown by a simple case study of a chocolate vending machine, which represents many aspects of human behaviour. The case study is modelled and analysed using the Maude rewrite system. This work extends a previous work by Basuki which attempts to model interactions between human and machine and analyse the possibility of errors occurring in the interactions. By redesigning the interface, it can be shown that certain kinds of error can be avoided for some users. This article overcomes the limitation of Basuki’s approach by incorporating many aspects of user behaviour into a single user model, and introduces a more natural approach to model human–computer interaction.

We present a methodology for modelling population dynamics with formal means of computer science. This allows unambiguous description of systems and application of analysis tools such as simulators and model checkers. In particular, the dynamics of a population of Aedes albopictus (a species of mosquito) and its modelling with the Stochastic Calculus of Looping Sequences (Stochastic CLS) are considered. The use of Stochastic CLS to model population dynamics requires an extension which allows environmental events (such as changes in the temperature and rainfalls) to be taken into account. A simulator for the constructed model is developed via translation into the specification language Maude, and used to compare the dynamics obtained from the model with real data

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