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Home : Research Staff : Dusko Pavlovic : Coalgebra |
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Coalgebra2009A semantical approach to equilibria and rationalityAbstractGame theoretic equilibria are mathematical expressions of rationality. Rational agents are used to model not only humans and their software representatives, but also organisms, populations, species and genes, interacting with each other and with the environment. Rational behaviors are achieved not only through conscious reasoning, but also through spontaneous stabilization at equilibrium points.Formal theories of rationality are usually guided by informal intuitions, which are acquired by observing some concrete economic, biological, or network processes. Treating such processes as instances of computation, we reconstruct and refine some basic notions of equilibrium and rationality from the some basic structures of computation. It is, of course, well known that equilibria arise as fixed points; the point is that semantics of computation of fixed points seems to be providing novel methods, algebraic and coalgebraic, for reasoning about them. 2007Labelled Markov Processes as generalised stochastic relations --- with Michael Mislove and James WorrellAbstractLabelled Markov processes (LMPs) are labelled transition systems in which each transition has an associated probability. In this paper we present a universal LMP as the spectrum of a commutative C*-algebra consisting of formal linear combinations of labelled trees. This yields a simple trace-tree semantics for LMPs that is fully abstract with respect to probabilistic bisimilarity. We also consider LMPs with distinguished entry and exit points as stateful stochastic relations. This allows us to define a category LMP, with measurable spaces as objects and LMPs as morphisms. Our main result in this context is to provide a predicate-transformer duality for LMP that generalises Kozen's duality for the category SRel of stochastic relations.2006Testing semantics: Connecting processes and process logics --- with Michael Mislove and James WorrellAbstractWe propose a methodology based on testing as a framework to capture the interactions of a machine represented in a denotational model and the data it manipulates. Using a connection that models ma- chines on the one hand, and the data they manipulate on the other, test- ing is used to capture the interactions of each with the objects on the other side: just as the data that are input into a machine can be viewed as tests that the machine can be subjected to, the machine can be viewed as a test that can be used to distinguish data. This approach is based on generalizing from duality theories that now are common in semantics to logical connections, which are simply contravariant adjunctions. In the process, it accomplishes much more than simply moving from one side of a duality to the other; it faithfully represents the interactions that embody what is happening as the computation proceeds.Our basic philosophy is that tests can be used as a basis for modeling interactions, as well as processes and the data on which they operate. In more abstract terms, tests can be viewed as formulas of process logics, and testing semantics connects processes and process logics, and assigns computational meanings to both. 2004Duality for Labelled Markov Processes --- with Michael Mislove, Joel Ouaknine and James WorrellAbstractLabelled Markov processes (LMPs) are probabilistic labelled transition systems. In this paper we present a `universal' LMP as the Stone-Gelfand-Naimark dual of a C*-algebra consisting of formal linear combinations of labelled trees. We characterize the state space of the universal LMP as the set of homomorphims from an ordered commutative monoid of labelled trees into the multiplicative unit interval. This yields a simple semantics for LMPs which is fully abstract with respect to probabilistic bisimilarity. We also consider LMPs with entry points and exit points in the framework of Elgot's iterative theories. We define an iterative theory of LMPs by specifing its categorical dual: a category of commutative rings consisting of C*-algebras of trees and `shapely maps' between them. We find that the basic operations for composing LMPs have simple definitions in the dual category.2002The continuum as a final coalgebra --- with Vaughan PrattAbstractWe define the continuum in terms of the final coalgebras of simple functors: either the functor N×X , mapping the sets X into their products with the set of natural numbers, or the functor 1+N ×X. This makes an attractive analogy with the definition of N itself as the initial algebra of the functor 1+X, which adds a singleton to each set X. We furthermore characterize Baire space and Cantor space in terms of these final coalgebras.The presented coalgebraic approach leads to coinductive definitions of these infinitary concepts both in the category of sets, and in the category of posets. We analyze the structural differences that arise, and conclude with some paradoxical discrepancies between continuity and constructiveness in this setting. 2001Categories of processes enriched in final coalgebras --- with Sava Krstic and John LaunchburyAbstractSimulations between processes can be understood in terms of coalgebra homomorphisms, with homomorphisms to the final coalgebra exactly identifying bisimilar processes. The elements of the final coalgebra are thus natural representatives of bisimilarity classes, and a denotational semantics of processes can be developed in a final-coalgebra-enriched category where arrows are processes, canonically represented.In the present paper, we describe a general framework for building final-coalgebra-enriched categories. Every such category is constructed from a multivariant functor representing a notion of process, much like Moggi's categories of computations arising from monads as notions of computation. The "notion of process" functors are intended to capture different flavors of processes as dynamically extended computations. These functors may involve a computational (co)monad, so that a process category in many cases contains an associated computational category as a retract. We further discuss categories of resumptions and of hyperfunctions, which are the main examples of prcess categories. Very informally, resumptions can be understood as computations extended in time, whereas hypercomputations are extended in space. 2000
Process fusion
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