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Plot Framework Bonus New Dynamics for Epistemic Modality Malte Willer University of Texas, Austin March 7, 2009NYU/Columbia available at http://www.maltewiller.net/nyucolumbia2009-slides.pdf Malte Willer New Dynamics for Epistemic


  1. Plot Framework Bonus New Dynamics for Epistemic Modality Malte Willer University of Texas, Austin March 7, 2009—NYU/Columbia available at http://www.maltewiller.net/nyucolumbia2009-slides.pdf Malte Willer New Dynamics for Epistemic Modality

  2. Plot Framework Bonus Outline 1 Plot 2 Framework 3 Bonus Malte Willer New Dynamics for Epistemic Modality

  3. Plot Framework Bonus Goal: Provide a Simple and Unifying Account of Disputes about Epistemic Modality and Disputes about Facts Example (Dispute about Epistemic Modality) Mary: I can’t find my keys. Alex: They might be in the car. Mary: No, they can’t be in the car. I still had them with me when I came in. Example (Dispute about Facts) Mary: I can’t find my keys. Alex: They are in the car. Mary: No, they are not. I still had them with me when I came in. Malte Willer New Dynamics for Epistemic Modality

  4. Plot Framework Bonus Desiderata ◮ predict that in both cases Mary denies what Alex has asserted ◮ predict that the dispute arises because Mary and Alex possess different information ◮ avoid relativism or an ad hoc pragmatics for judgements of epistemic modality Malte Willer New Dynamics for Epistemic Modality

  5. Plot Framework Bonus A Good Semantics for Epistemic Modals Is Dynamic Slogan I Semantics is all about Context Change Potential and context change is not always mediated by propositional content. Slogan II Epistemically modalised sentences have content, but the content is not truth-conditional content. This approach: ◮ avoids the problems of a truth-conditional semantics for epistemic modals ◮ offers a compositional semantics for epistemic modals ◮ provides a uniform account of modal and factual disputes ◮ has some other nice bonus features Malte Willer New Dynamics for Epistemic Modality

  6. Plot Framework Bonus Object of Study: Modal Propositional Language Definition (Language) L is the smallest set that contains any sentential atoms A = { p , q , ... } and is closed under negation ( ¬ ), conjunction ( ∧ ), and the epistemic modal might ( ♦ ). Disjunction ( ∨ ), the material conditional ( ⊃ ), and the epistemic modal must ( � ) are defined in the usual way. L 0 is defined as the non-modal fragment of L . ◮ to take care of all the problematic data, we would need to extend L with: ◮ the natural language conditional ◮ some basic tense operators ◮ attitude expressions ◮ but in the interest of time, let’s keep things simple Malte Willer New Dynamics for Epistemic Modality

  7. Plot Framework Bonus Contexts Are Information States CCP of Might Might -statements highlight certain epistemic possibilities. ◮ to learn that φ might be the case is to become aware of certain epistemic possibilities ◮ we say that might -statements transform epistemic possibilities into live epistemic possibilities ◮ information states must be fine-grained enough to distinguish between ◮ what is merely compatible with what is known ◮ live epistemic possibilities ◮ so information states cannot be mere sets of possible worlds Malte Willer New Dynamics for Epistemic Modality

  8. Plot Framework Bonus Information States are Sets of Sets of Possible Worlds Definition (Possible Worlds, States, Information States) w is a possible world iff. w : A �→ { 0 , 1 } . W is the set of such w ’s. σ is a state iff σ ⊆ W . S is the set of such σ ’s. Σ is an information state iff Σ ⊆ ( S \ ∅ ). I is the set of such Σ’s. The initial information state Σ 0 is identical with ( S \ ∅ ), the absurd information state Σ ∅ with ∅ . ◮ an information state is a (possibly empty) set of non-empty sets of possible worlds Malte Willer New Dynamics for Epistemic Modality

  9. Plot Framework Bonus Possibilities: First Pass Definition (Possibilities (Special Case)) Consider any Σ ∈ I and p ∈ A : 1 p is an epistemic possibility in Σ iff ∃ w ∈ � Σ: w ( p ) = 1 2 p is a live epistemic possibility in Σ iff ∃ w ∈ � Σ: w ( p ) = 1 and ∀ σ ∈ Σ ∃ w ∈ σ : w ( p ) = 1 ◮ p is an epistemic possibility if there is at least one set of possible worlds in which p is a possibility ◮ p is a settled or live epistemic possibility if and only if all sets of possible worlds are such that p is a possibility Malte Willer New Dynamics for Epistemic Modality

  10. Plot Framework Bonus A Closer Look Example ( A = { p } ) ◮ two possible worlds w 1 ( p ) = 1 and w 2 ( p ) = 0 ◮ consider the information state Σ = {{ w 1 } , { w 2 } , { w 1 , w 2 }} ◮ p is a possibility ◮ p it is not a live epistemic possibility ◮ learning that p might be the case excludes all those states in which there is no possible world verifying p , i.e. { w 2 } ◮ learning that p cannot be the case excludes all those states in which there is a possible world verifying p , i.e. { w 1 } , { w 1 , w 2 } ◮ gives us the distinctions we need while preserving a possible worlds model (awesome) Malte Willer New Dynamics for Epistemic Modality

  11. Plot Framework Bonus First Step: Updating the Elements of Information States Definition (Updates on States) Consider any σ ∈ S , p ∈ A and φ, ψ ∈ L . An update on a state is a function ↑ : S �→ S defined by the following recursion: (1) σ ↑ p = { w ∈ σ : w ( p ) = 1 } (2) σ ↑ ¬ φ = σ \ ( σ ↑ φ ) (3) σ ↑ φ ∧ ψ = ( σ ↑ φ ) ↑ ψ σ ↑ ♦ φ = { w ∈ σ : σ ↑ φ � = ∅} (4) ◮ update with p : eliminate all w ∈ σ sucht w ( p ) = 0 ◮ update with � ¬ φ � : take the complement of update with φ ◮ conjunction: functional composition ◮ update with might : running a test on a state Malte Willer New Dynamics for Epistemic Modality

  12. Plot Framework Bonus Second Step: Updating Information States Definition (Updates on Information States) Consider any Σ ∈ I and φ ∈ L . An update on an information state is a function [ . ] : I �→ I defined as follows: Σ[ φ ] = { σ : σ � = ∅ ∧ ∃ σ ′ ∈ Σ: σ ′ ↑ φ = σ } ◮ Update of an information state Σ with a formula φ thus comes down to the following procedure: update every element of Σ with φ 1 gather all the resulting non-empty states together 2 Malte Willer New Dynamics for Epistemic Modality

  13. Plot Framework Bonus Possibilities: Second Pass Definition (Possibilities (General Case)) Consider any Σ ∈ I and φ ∈ A : 1 φ is an epistemic possibility in Σ iff Σ[ φ ] � = ∅ 2 φ is a live epistemic possibility in Σ iff Σ[ φ ] � = ∅ and ∀ σ ∈ Σ : σ ↑ φ � = ∅ ◮ generalises the difference between φ being compatible with what is known and φ being a live epistemic possibility Malte Willer New Dynamics for Epistemic Modality

  14. Plot Framework Bonus Another Example Example ( A = { p } ) ◮ w 1 ( p ) = 1 and w 2 ( p ) = 0 ◮ Σ = {{ w 1 } , { w 2 } , { w 1 , w 2 }} ◮ Σ[ p ] = {{ w 1 }} ◮ Σ[ ¬ p ] = {{ w 2 }} ◮ Σ[ ♦ p ] = {{ w 1 } , { w 1 , w 2 }} ◮ Σ[ ¬ ♦ p ] = {{ w 2 }} ◮ Σ[ � p ] = {{ w 1 }} ◮ Σ[ ¬ � p ] = {{ w 2 } , { w 1 , w 2 }} Malte Willer New Dynamics for Epistemic Modality

  15. Plot Framework Bonus Some Useful Notions Definition (Settledness, Admission, Entailment) Let Σ be an information state and φ , ψ be formulas: 1 Σ supports φ , φ is settled in Σ, Σ � φ , iff Σ[ φ ] = Σ 2 Σ admits φ , Σ ⊲ φ , iff Σ � φ and Σ � ¬ φ 3 φ entails ψ , φ � ψ , iff ∀ Σ: Σ[ φ ] � ψ ◮ There are three possible relations between a Σ ∈ I and φ ∈ L : ◮ Σ � φ ◮ Σ ⊲ φ ◮ Σ[ φ ] = ∅ . Malte Willer New Dynamics for Epistemic Modality

  16. Plot Framework Bonus Some Results Facts 1 For all Σ � = Σ ∅ , Σ � ♦ φ iff φ is a live epistemic possibility in Σ 2 For all φ ∈ L 0 : φ � � φ 3 ♦ φ � φ 4 ♦ φ � �♦ φ ◮ since Σ[ ♦ φ ] � ♦ φ , admissible updates with �♦ φ � raise φ from an epistemic possibility to a live epistemic possibility ◮ once φ ∈ L 0 is settled, there cannot be any doubt about φ ◮ might is non-factive ◮ the current framework validates the characteristic axiom of S5 Malte Willer New Dynamics for Epistemic Modality

  17. Plot Framework Bonus The Pragmatics of Assessment Is Very Simple Assessment Let φ ∈ L and consider a subject A with information state Σ A . Then A will by default assess an utterance of φ as follows: ◮ Agree in case Σ A � φ ◮ Accept in case Σ A ⊲ φ ◮ Reject in case Σ A [ φ ] = ∅ ◮ A will agree with φ if A ’s information state already encodes the information encoded in φ . ◮ If A ’s information is incompatible with φ , then we should expect that A rejects an assertion of φ . ◮ If A is agnostic about φ , then A might as well accept that φ is the case. Malte Willer New Dynamics for Epistemic Modality

  18. Plot Framework Bonus Disputes about Epistemic Modality Explained Example (Dispute about Epistemic Modality) Mary: I can’t find my keys. Alex: They might be in the car. Mary: No, they can’t be in the car. I still had them with me when I came in. ◮ Mary denies what Alex has asserted ◮ difference in what is known does not matter for what they say when they make their utterances, but for why they say it ◮ Σ Alex � ♦ p , Σ Mary � ¬ p and thus Σ Mary [ ♦ p ] = ∅ ◮ so no wonder that Mary denies Alex’s utterance Malte Willer New Dynamics for Epistemic Modality

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