4 research outputs found
A modular approach to defining and characterising notions of simulation
We propose a modular approach to defining notions of simulation, and modal logics which characterise them. We use coalgebras to model state-based systems, relators to define notions of simulation for such systems, and inductive techniques to define the syntax and semantics of modal logics for coalgebras. We show that the expressiveness of an inductively defined logic for coalgebras w.r.t. a notion of simulation follows from an expressivity condition involving one step in the definition of the logic, and the relator inducing that notion of simulation. Moreover, we show that notions of simulation and associated characterising logics for increasingly complex system types can be derived by lifting the operations used to combine system types, to a relational level as well as to a logical level. We use these results to obtain Baltag’s logic for coalgebraic simulation, as well as notions of simulation and associated logics for a large class of non-deterministic and probabilistic systems
Equational Characterization of Covariant-Contravariant Simulation and Conformance Simulation Semantics
Covariant-contravariant simulation and conformance simulation generalize
plain simulation and try to capture the fact that it is not always the case
that "the larger the number of behaviors, the better". We have previously
studied their logical characterizations and in this paper we present the
axiomatizations of the preorders defined by the new simulation relations and
their induced equivalences. The interest of our results lies in the fact that
the axiomatizations help us to know the new simulations better, understanding
in particular the role of the contravariant characteristics and their interplay
with the covariant ones; moreover, the axiomatizations provide us with a
powerful tool to (algebraically) prove results of the corresponding semantics.
But we also consider our results interesting from a metatheoretical point of
view: the fact that the covariant-contravariant simulation equivalence is
indeed ground axiomatizable when there is no action that exhibits both a
covariant and a contravariant behaviour, but becomes non-axiomatizable whenever
we have together actions of that kind and either covariant or contravariant
actions, offers us a new subtle example of the narrow border separating
axiomatizable and non-axiomatizable semantics. We expect that by studying these
examples we will be able to develop a general theory separating axiomatizable
and non-axiomatizable semantics.Comment: In Proceedings SOS 2010, arXiv:1008.190
Characteristic Logics for Behavioural Hemimetrics via Fuzzy Lax Extensions
In systems involving quantitative data, such as probabilistic, fuzzy, or
metric systems, behavioural distances provide a more fine-grained comparison of
states than two-valued notions of behavioural equivalence or behaviour
inclusion. Like in the two-valued case, the wide variation found in system
types creates a need for generic methods that apply to many system types at
once. Approaches of this kind are emerging within the paradigm of universal
coalgebra, based either on lifting pseudometrics along set functors or on
lifting general real-valued (fuzzy) relations along functors by means of fuzzy
lax extensions. An immediate benefit of the latter is that they allow bounding
behavioural distance by means of fuzzy (bi-)simulations that need not
themselves be hemi- or pseudometrics; this is analogous to classical
simulations and bisimulations, which need not be preorders or equivalence
relations, respectively. The known generic pseudometric liftings, specifically
the generic Kantorovich and Wasserstein liftings, both can be extended to yield
fuzzy lax extensions, using the fact that both are effectively given by a
choice of quantitative modalities. Our central result then shows that in fact
all fuzzy lax extensions are Kantorovich extensions for a suitable set of
quantitative modalities, the so-called Moss modalities. For nonexpansive fuzzy
lax extensions, this allows for the extraction of quantitative modal logics
that characterize behavioural distance, i.e. satisfy a quantitative version of
the Hennessy-Milner theorem; equivalently, we obtain expressiveness of a
quantitative version of Moss' coalgebraic logic. All our results explicitly
hold also for asymmetric distances (hemimetrics), i.e. notions of quantitative
simulation
Abstract A Modular Approach to Defining and Characterising Notions of Simulation
We propose a modular approach to defining notions of simulation, and modal logics which characterise them. We use coalgebras to model state-based systems, relators to define notions of simulation for such systems, and inductive techniques to define the syntax and semantics of modal logics for coalgebras. We show that the expressiveness of an inductively-defined logic for coalgebras w.r.t. a notion of simulation follows from an expressivity condition involving one step in the definition of the logic, and the relator inducing that notion of simulation. Moreover, we show that notions of simulation and associated characterising logics for increasingly complex system types can be derived by lifting the operations used to combine system types, to a relational level as well as to a logical level. We use these results to obtain Baltag’s logic for coalgebraic simulation, as well as notions of simulation and associated logics for a large class of non-deterministic and probabilistic systems. Key words: coalgebra, simulation, modal logic, probabilistic system