This paper analyses models of a spatial logic with path operators based on the class of neighbourhood spaces, also called pretopological or closure spaces, a generalisation of topological spaces. For this purpose, we distinguish two dimensions: the type of spaces on which models are built, and the type of allowed paths. For the spaces, we investigate general neighbourhood spaces and the subclass of quasi-discrete spaces, which closely resemble graphs. For the paths, we analyse the cases of quasi-discrete paths, which consist of an enumeration of points, and topological paths, based on the unit interval. We show that the logic admits finite models over quasi-discrete spaces, both with quasi-discrete and topological paths. Finally, we prove that for general neighbourhood spaces, the logic does not have the finite model property, either for quasi-discrete or topological paths.

We present a bisimulation relation for neighbourhood spaces, a generalisation of topological spaces. We show that this notion, path preserving bisimulation, preserves formulas of the spatial logic SLCS. We then use this preservation result to show that SLCS cannot express standard topological properties such as separation and connectedness. Furthermore, we compare the bisimulation relation with standard modal bisimulation and modal bisimulation with converse on graphs and prove it coincides with the latter.

Abstract Algorithms for the synchronisation of clocks across networks are both common and important within distributed systems. We here address not only the formal modelling of these algorithms, but also the formal verification of their behaviour. Of particular importance is the strong link between the very different levels of abstraction at which the algorithms may be verified. Our contribution is primarily the formalisation of this connection between individual models and population-based models, and the subsequent verification that is then possible. While the technique is applicable across a range of synchronisation algorithms, we particularly focus on the synchronisation of (biologically-inspired) pulse-coupled oscillators, a widely used approach in practical distributed systems. For this application domain, different levels of abstraction are crucial: models based on the behaviour of an individual process are able to capture the details of distinguished nodes in possibly heterogenous networks, where each node may exhibit different behaviour. On the other hand, collective models assume homogeneous sets of processes, and allow the behaviour of the network to be analysed at the global level. System-wide parameters may be easily adjusted, for example environmental factors inhibiting the reliability of the shared communication medium. This work provides a formal bridge across the “abstraction gap” separating the individual models and the population-based models for this important class of synchronisation algorithms.

Abstract The dynamic behavior of a car can be modeled as a hybrid system involving continuous state changes and discrete state transitions. We show that the control of safe (collision free) lane change maneuvers in multi-lane traffic on highways can be described by finite state machines extended with continuous variables coming from the environment. We use standard theory for controller synthesis to derive the dynamic behavior of a lane-change controller. Thereby, we contrast the setting of interleaving semantics and synchronous concurrent semantics. We also consider the possibility of exchanging knowledge between neighboring cars in order to come up with the right decisions. Finally, we address compositional verification using an assumption-guarantee paradigm.

Proofs created by diagrammatic theorem provers are not designed with human readers in mind. We say that one proof, $$P_1$$ , is more “readable” than another, $$P_2$$ , if users make fewer errors in understanding which inference rules were applied in $$P_1$$ than in $$P_2$$ , and do so in a shorter time. We analysed the readability of individual rules in an empirical study which required users to identify the rules used in inferences. We found that increased clutter (redundant syntax) in the premiss diagrams affects readability, and that rule applications which require the user to combine information from several diagrams are sometimes less readable than those which focus on a single diagram. We provide an explanation based on mental models.

We present ongoing work to understand and formalise notions of “readability” in diagrammatic proofs and to use these results to extend an existing Euler diagram proof system. This work is in its early stages. We outline our intentions to define a theoretical framework, based on an empirical study, that maps users' varying cognitive preferences to corresponding proof strategies. The framework will be used to extend a theorem prover based on Euler diagrams, enabling users of the system to select from among the strategies while constructing proofs.