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SYSMICS Kickoff Meeting Barcelona, Sept. 2016 Interpreting Sequent Calculi as ClientServer Games Chris Fermller Theory and Logic Group Vienna University of Technology 1 Background 2 Background substructural logics are often motivated


  1. SYSMICS Kickoff Meeting Barcelona, Sept. 2016 Interpreting Sequent Calculi as Client–Server Games Chris Fermüller Theory and Logic Group Vienna University of Technology 1

  2. Background 2

  3. Background substructural logics are often motivated by resource consciousness 2

  4. Background substructural logics are often motivated by resource consciousness this motivation usually remains metaphorical 2

  5. Background substructural logics are often motivated by resource consciousness this motivation usually remains metaphorical think of Girard’s cigarette example: “For $1 you get a pack of Camels, but also a pack of Marlboro” 2

  6. Background substructural logics are often motivated by resource consciousness this motivation usually remains metaphorical think of Girard’s cigarette example: “For $1 you get a pack of Camels, but also a pack of Marlboro” “but also”: multiplicative in contrast to additive conjunction 2

  7. Background substructural logics are often motivated by resource consciousness this motivation usually remains metaphorical think of Girard’s cigarette example: “For $1 you get a pack of Camels, but also a pack of Marlboro” “but also”: multiplicative in contrast to additive conjunction Gentzen’s sequent calculus ( LK / LI ) is the natural starting point for connecting inference and resource consciousness 2

  8. Background substructural logics are often motivated by resource consciousness this motivation usually remains metaphorical think of Girard’s cigarette example: “For $1 you get a pack of Camels, but also a pack of Marlboro” “but also”: multiplicative in contrast to additive conjunction Gentzen’s sequent calculus ( LK / LI ) is the natural starting point for connecting inference and resource consciousness – this leads to (fragments of) linear logic, possibly even Lambek calculus 2

  9. Background substructural logics are often motivated by resource consciousness this motivation usually remains metaphorical think of Girard’s cigarette example: “For $1 you get a pack of Camels, but also a pack of Marlboro” “but also”: multiplicative in contrast to additive conjunction Gentzen’s sequent calculus ( LK / LI ) is the natural starting point for connecting inference and resource consciousness – this leads to (fragments of) linear logic, possibly even Lambek calculus to breathe life into the resource metaphor, we need dynamics = ⇒ game semantics for substructural sequent calculi 2

  10. Different types of game semantics 3

  11. Different types of game semantics (1) “propositions as games / connectives as game operators” (since 1990s: Blass, Abramsky, Jagadeesan, Hyland, Ong, . . . ) – abstract semantic models of (fragments and variants) of linear logic – leads to a fully abstract semantic model of PCF (2) “logical dialogue games” (since 1960s: Lorenz, Lorenzen, Krabbe, Rahman, . . . ) – Proponent/Opponent games with logical and structural rules – proofs are winning strategies for Proponent 3

  12. Different types of game semantics (1) “propositions as games / connectives as game operators” (since 1990s: Blass, Abramsky, Jagadeesan, Hyland, Ong, . . . ) – abstract semantic models of (fragments and variants) of linear logic – leads to a fully abstract semantic model of PCF (2) “logical dialogue games” (since 1960s: Lorenz, Lorenzen, Krabbe, Rahman, . . . ) – Proponent/Opponent games with logical and structural rules – proofs are winning strategies for Proponent We introduce a new type of games interpreting sequent rules directly: 3

  13. Different types of game semantics (1) “propositions as games / connectives as game operators” (since 1990s: Blass, Abramsky, Jagadeesan, Hyland, Ong, . . . ) – abstract semantic models of (fragments and variants) of linear logic – leads to a fully abstract semantic model of PCF (2) “logical dialogue games” (since 1960s: Lorenz, Lorenzen, Krabbe, Rahman, . . . ) – Proponent/Opponent games with logical and structural rules – proofs are winning strategies for Proponent We introduce a new type of games interpreting sequent rules directly: (3) Client/Server games ( C / S -games) 3

  14. C/S-games - the basic idea 4

  15. C/S-games - the basic idea we identify formulas with “information packages” (IPs) 4

  16. C/S-games - the basic idea we identify formulas with “information packages” (IPs) IPs (for the moment) are either atomic (including atom ⊥ = elementary inconsistency) or structured according to access options: ◮ any_of( F 1 , . . . , F n ) ◮ some_of( F 1 , . . . , F n ) ◮ F 1 given F 2 4

  17. C/S-games - the basic idea we identify formulas with “information packages” (IPs) IPs (for the moment) are either atomic (including atom ⊥ = elementary inconsistency) or structured according to access options: ◮ any_of( F 1 , . . . , F n ) ◮ some_of( F 1 , . . . , F n ) ◮ F 1 given F 2 a client C seeks to extract/reconstruct an IP H with respect to a whole bunch of IPs G 1 , . . . , G n maintained by the server S : Notation: G 1 , . . . , G n ⊲ H 4

  18. C/S-games - the basic idea we identify formulas with “information packages” (IPs) IPs (for the moment) are either atomic (including atom ⊥ = elementary inconsistency) or structured according to access options: ◮ any_of( F 1 , . . . , F n ) ◮ some_of( F 1 , . . . , F n ) ◮ F 1 given F 2 a client C seeks to extract/reconstruct an IP H with respect to a whole bunch of IPs G 1 , . . . , G n maintained by the server S : Notation: G 1 , . . . , G n ⊲ H extraction proceeds stepwise, in rounds, initiated by C 4

  19. C/S-games - the basic idea we identify formulas with “information packages” (IPs) IPs (for the moment) are either atomic (including atom ⊥ = elementary inconsistency) or structured according to access options: ◮ any_of( F 1 , . . . , F n ) ◮ some_of( F 1 , . . . , F n ) ◮ F 1 given F 2 a client C seeks to extract/reconstruct an IP H with respect to a whole bunch of IPs G 1 , . . . , G n maintained by the server S : Notation: G 1 , . . . , G n ⊲ H extraction proceeds stepwise, in rounds, initiated by C C succeeds (wins) if H is atomic and ∈ { G 1 , . . . , G n } the final state. We are interested in winning strategies for C . 4

  20. Two types of rounds 5

  21. Two types of rounds in each state Γ ⊲ H the client C may request one of two actions from S : Unpack one of your ( S ’s) IP Check my ( C ’s) current IP 5

  22. Two types of rounds in each state Γ ⊲ H the client C may request one of two actions from S : Unpack one of your ( S ’s) IP Check my ( C ’s) current IP Unpack -rules: C picks G ∈ Γ (= bunch of IPs provided by S ) ( U ∗ any ) G = any_of( F 1 , . . . , F n ): C chooses i , S adds F i to Γ ( U ∗ some ) G = some_of( F 1 , . . . , F n ): S chooses i and adds F i to Γ ( U ∗ given ) G = ( F 1 given F 2 ): either S adds F 1 to Γ or F 2 replaces H ( U + ⊥ ) G = ⊥ : game ends, C wins Check -rules: depend on C ’s current IP H . ( C any ) H = any_of( F 1 , . . . , F n ): S chooses i , F i replaces H ( C some ) H = some_of( F 1 , . . . , F n ): C chooses i , F i replaces H ( C given ) H = ( F 1 given F 2 ): S adds F 2 to Γ, F 1 replaces H ( C + atom ) H is atomic: game ends, C wins if H ∈ Γ 5

  23. A simple example 6

  24. A simple example 6

  25. A simple example [( a , b ) , ( b , c )] � �� � some_of(any_of( a , b ) , any_of( b , c )) ⊲ some_of( b , d ) 6

  26. A simple example [( a , b ) , ( b , c )] � �� � some_of(any_of( a , b ) , any_of( b , c )) ⊲ some_of( b , d ) ↓ C some 6

  27. A simple example [( a , b ) , ( b , c )] � �� � some_of(any_of( a , b ) , any_of( b , c )) ⊲ some_of( b , d ) ↓ C some [( a , b ) , ( b , c )] ⊲ b 6

  28. A simple example [( a , b ) , ( b , c )] � �� � some_of(any_of( a , b ) , any_of( b , c )) ⊲ some_of( b , d ) ↓ C some [( a , b ) , ( b , c )] ⊲ b ւ ց U ∗ some 6

  29. A simple example [( a , b ) , ( b , c )] � �� � some_of(any_of( a , b ) , any_of( b , c )) ⊲ some_of( b , d ) ↓ C some [( a , b ) , ( b , c )] ⊲ b ւ ց U ∗ some any_of( a , b ) , [( a , b ) , ( b , c )] ⊲ b any_of( b , c ) , [( a , b ) , ( b , c )] ⊲ b 6

  30. A simple example [( a , b ) , ( b , c )] � �� � some_of(any_of( a , b ) , any_of( b , c )) ⊲ some_of( b , d ) ↓ C some [( a , b ) , ( b , c )] ⊲ b ւ ց U ∗ some any_of( a , b ) , [( a , b ) , ( b , c )] ⊲ b any_of( b , c ) , [( a , b ) , ( b , c )] ⊲ b ↓ U ∗ ↓ U ∗ any any 6

  31. A simple example [( a , b ) , ( b , c )] � �� � some_of(any_of( a , b ) , any_of( b , c )) ⊲ some_of( b , d ) ↓ C some [( a , b ) , ( b , c )] ⊲ b ւ ց U ∗ some any_of( a , b ) , [( a , b ) , ( b , c )] ⊲ b any_of( b , c ) , [( a , b ) , ( b , c )] ⊲ b ↓ U ∗ ↓ U ∗ any any b , any_of( a , b ) , [( a , b ) , ( b , c )] ⊲ b b , any_of( b , c ) , [( a , b ) , ( b , c )] ⊲ b C wins C wins 6

  32. A simple example [( a , b ) , ( b , c )] � �� � some_of(any_of( a , b ) , any_of( b , c )) ⊲ some_of( b , d ) ↓ C some [( a , b ) , ( b , c )] ⊲ b ւ ց U ∗ some any_of( a , b ) , [( a , b ) , ( b , c )] ⊲ b any_of( b , c ) , [( a , b ) , ( b , c )] ⊲ b ↓ U ∗ ↓ U ∗ any any b , any_of( a , b ) , [( a , b ) , ( b , c )] ⊲ b b , any_of( b , c ) , [( a , b ) , ( b , c )] ⊲ b C wins C wins Note: (winning) strategies for C are trees of states that branch for all choices of S 6

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