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Exemplaric Expressivity of Modal  Logics Exemplaric Expressivity of Modal  Logics

Exemplaric Expressivity of Modal Logics - PowerPoint Presentation

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Exemplaric Expressivity of Modal Logics - PPT Presentation

Ana Sokolova University of Salzburg joint work with Bart Jacobs Radboud University Nijmegen Coalgebra Day 1132008 RUN 1 TexPoint fonts used in EMF Read the TexPoint manual before you delete this box ID: 742682

2008 day modal coalgebra day 2008 coalgebra modal expressivity run logic markov boolean equivalence processes chains logical probabilistic discrete

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Slide1

Exemplaric Expressivityof Modal Logics

Ana Sokolova University of Salzburgjoint work withBart Jacobs Radboud University Nijmegen

Coalgebra Day, 11-3-2008, RUN

1

TexPoint fonts used in EMF.

Read the TexPoint manual before you delete this box.:

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OutlineCoalgebra Day, 11-3-2008, RUN

Expressivity: logical equivalence = behavioral equivalence For three examples:Transition systemsMarkov chains

Markov processes

Boolean modal logic

Finite conjunctions probabilistic modal logic

2Slide3

Via dual adjunctions

Coalgebra Day, 11-3-2008, RUN3

Predicates on spaces

Theories on models

Behaviour

(

coalgebras

)

Logics

(algebras)

Dual Slide4

Logical set-upCoalgebra Day, 11-3-2008, RUN

4

If L has an initial algebra of formulas

A natural transformation

gives interpretationsSlide5

Logical equivalencebehavioural equivalence

Coalgebra Day, 11-3-2008, RUN5 The interpretation map yields a theory map

which defines logical equivalence

behavioural equivalence is given by

for some

coalgebra homomorphisms

h

1

and

h

2

Aim: expressivitySlide6

Expressivity

Bijective correspondence between andCoalgebra Day, 11-3-2008, RUN

6

If

and the transpose of the interpretation is

componentwise

mono, then expressivity

.

Factorisation system on

with diagonal fill-in

Slide7

Sets vs. Boolean algebras

Coalgebra Day, 11-3-2008, RUN7

contravariant powerset

Boolean algebras

ultrafiltersSlide8

Sets vs. meet

semilatticesCoalgebra Day, 11-3-2008, RUN8

meet semilattices

contravariant powerset

filtersSlide9

Measure spaces vs. meet semilattices

Coalgebra Day, 11-3-2008, RUN9

measure spaces

¾

-algebra:

“measurable”

subsets closed under empty, complement, countable union

maps a measure space to its

¾

-algebra

filters on A with

¾

-algebra generated bySlide10

Behaviour via coalgebrasCoalgebra Day, 11-3-2008, RUN

10

Transition systems

Markov chains

Markov processes

Giry monadSlide11

The Giry monadCoalgebra Day, 11-3-2008, RUN

11

subprobability measures

countable union of pairwise disjoint

generated by

the smallest making

measurableSlide12

Coalgebra Day, 11-3-2008, RUNLogic for transition systems

Modal operator12

models of boolean logic with fin.meet preserving modal operators

L = GV

V -

forgetful

expressivitySlide13

Coalgebra Day, 11-3-2008, RUNLogic for Markov chains

Probabilistic modalities13

models of logic with fin.conj. and

monotone modal operators

K = HV

V -

forgetful

expressivitySlide14

Coalgebra Day, 11-3-2008, RUNLogic for Markov processes

General probabilistic modalities14

models of logic with fin.conj. and

monotone modal operators

the same

K

expressivitySlide15

Discrete to indescrete

The adjunctions are related:Coalgebra Day, 11-3-2008, RUN15

discrete

measure

space

forgetful

functorSlide16

Discrete to indiscreteMarkov chains as Markov processes

Coalgebra Day, 11-3-2008, RUN16Slide17

Discrete to indiscreteCoalgebra Day, 11-3-2008, RUN

17

Slide18

ConclusionsCoalgebra Day, 11-3-2008, RUN

18 Expressivity For three examples:Transition systemsMarkov chainsMarkov processes

Boolean modal logic

Finite conjunctions probabilistic modal logic

in the setting of dual adjunctions !