neighborhood semantics for deontic and agency logics
play

Neighborhood semantics for deontic and agency logics Olga Pacheco - PowerPoint PPT Presentation

Neighborhood semantics for deontic and agency logics Olga Pacheco FAST Group DI/CCTC, University of Minho CIC07 October, 2007 Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Motivation 1


  1. Neighborhood semantics for deontic and agency logics Olga Pacheco FAST Group DI/CCTC, University of Minho CIC’07 October, 2007

  2. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Motivation 1 Deontic and Agency Logics 2 Analysis suported 3 Adding Context 4 Future work 5

  3. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Non-ideal systems In complex sytems we may not have full control over the behaviour of all its components: incomplete information, “black box” components, it´s too expensive or complex to do so, humans are involved,... Thus, failure may occur and the system must be prepared to react to that. Non-ideality has to be taken as a natural ingredient, from first stages of development. Instead of describing how the system will behave we can only say how the system should behave : it is necessary is replaced by it is obligatory , it is possible is replaced by it is permitted .

  4. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Non-ideal systems Contract-based (normative) specification : specify what is the obligatory and permitted behaviour (norms), assume that components may deviate from that ideal behaviour (violate norms), define what to do when violations to expected behaviour occur (sanctions, recovery procedures) Norms: represented by the set of obligations and permissions that result from them. Our aim: contribute with a high-level model and a logic to reason about it.

  5. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Non-ideal systems Relevant concepts: We want to be able to speak about obligations and permissions . We are interested in: obligation (and permission) to do (as oposed to obligation to be ). Obligations are fulfilled by agents through actions: “ Agent x is obliged to pay the debt ” meaning “ It is obligatory that agent x pays the debt ”. So, we need an agency concept. We also need to relate obligations with actions of agents .

  6. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Non-ideal systems As failure may occur, it is important to confront expected behavior (obligations, permissions, ...) with actual behaviour (actions of agents), detect violations of obligations (forbidden actions or not permitted actions) and identify agents responsible for them . We will use deontic and agency logics.

  7. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Deontic Logic Deontic modal language L D ( At ) ( At set of atomic propositions) ψ ::= p |¬ ψ | ψ → ψ | O ψ p ∈ At ∧ , ∨ , ↔ defined as usual. P ψ def = ¬ O ¬ ψ . O φ : “it is obligatory that φ ” O : states what is obligatory to do, what ought to be done. P : states what is permitted.

  8. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work SDL-Standard Deontic Logic Axiomatics PC Any axiomatization of proposition logic. (K) O ( ψ → φ ) → ( O ψ → O φ ) (D) O ψ → ¬ O ¬ ψ ψ ψ → φ (MP) φ ψ (Nec) O ψ Axiom (D) tells that “what is obligatory is permitted” or, equivalently, that “there cannot exist conflicts of obligations”: (D) ¬ ( O ψ ∧ O ¬ ψ ). SDL is a KD normal modal logic.

  9. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work SDL: Paradoxes SDL leads to well known paradoxes :Ross paradox, Chisholm paradox, gentle murder paradox,... Questions rised by the “paradox of gentle murder” are relevant to our context.

  10. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work SDL: Paradox of gentle murder Statements: (1) Jones murders Smith. (2) Jones ought not to murder Smith. (3) If Jones murders Smith, then Jones ought to murder Smith gently. Another fact: (4) If Jones murders Smith gently, then Jones murders Smith. From (4) and (RM) rule we can infer: (5) If Jones ought to murder Smith gently, then Jones ought to murder Smith. Fom (1) and (3) we have: (6) Jones ought to murder Smith gently. And from (5) and (6) we infer (7) Jones ought to murder Smith. which contradicts (2).

  11. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work SDL: Paradoxes Monotonicity is the main cause for this paradox. We will need weaker logics than K in order to avoid undesirable inferences of this kind. Other paradoxes are related with different problems: the representation of contrary to duties or conditional obligations, for instance.

  12. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Deontic logic The deontic logic we use: Axiomatics (PC) Any axiomatization of proposition logic. (D) O ψ → ¬ O ¬ ψ ψ → φ (MP) ψ φ ψ ↔ φ (RE) O ψ ↔ O φ This is a non-normal ED modal logic.

  13. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Deontic Logic The semantic we adopt: Semantics: neighbourhood deontic models A neighborhood deontic frame F is a pair F = < W , N o > where W is a non-empty set of worlds and N o is a neighborhood deontic function N o : W − → P ( P ( W )). A model based on F is a tuple < W , N o , V > where V is a valuation function V : W − → P ( At ). N o ( w ) assigns to each world the set of propositions obligatory in it. Propositions are represented by its truth set: � ψ � M = { w | M , w � ψ }

  14. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Deontic Logic Validity of formulas in a model: M , w � p iff p ∈ V ( w ) M , w � ¬ ψ iff M , w � � ψ M , w � ψ → φ iff M , w � � ψ or M , w � φ M , w � O ψ iff � ψ � M ∈ N o ( w ) F � ψ A frame F validates a formula ψ if all models based on F validate ψ .

  15. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Deontic Logic Some known results: Properties of neighborhood deontic frames Let F = < W , N o > be a neighborhood deontic frame. The axiom (D) defines a proper frame , i.e., F � O ψ → ¬ O ¬ ψ iff for all w , if X ∈ N o ( w ) then ( W − X ) �∈ N o ( w ).

  16. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Agency Logic Agency modal language L A ( At ) ( At set of atomic propositions) ψ ::= p |¬ ψ | ψ → ψ |{ E a ψ } a ∈ Ag where Ag is a set of agents and p ∈ At ∧ , ∨ , ↔ defined as usual. E i φ : “agent i brings about φ ” E i φ relates the agent (actor, component, ...) i with the state of affairs φ he brings about, abstracting from the concrete actions done to obtain that state of affairs and putting aside temporal issues.

  17. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Agency logic Axiomatics PC Any axiomatization of proposition logic. (T) E i ψ → ψ (C) E i ψ ∧ E i φ → E i ( ψ ∧ φ ) ψ → φ (MP) ψ φ ψ ↔ φ (RE) E i ψ ↔ E i φ This is a non-normal ETC modal logic.

  18. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Agency Logic Semantics: neighbourhood agency models A neighborhood agency frame F is a pair F = < W , { N e i } i ∈ Ag > where W is a non-empty set of worlds and N e i is a neighborhood agency function N e i : W − → P ( P ( W )). A model based on F is a tuple < W , { N e i } i ∈ Ag , V > where V is a valuation function V : W − → P ( At ). N e i ( w ) assigns to the world w the set of propositions the agent i brings about in w . Validity of formulas in a neighborhood agency model: M , w � p iff p ∈ V ( w ) M , w � ¬ ψ iff M , w � � ψ M , w � ψ → φ iff M , w � � ψ or M , w � φ M , w � E i ψ iff � ψ � M ∈ N e i ( w )

  19. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Agency Logic Some known results: Properties of neighborhood agency frames Let F = < W , N e i > be a neighborhood agency frame. F � E i ψ ∧ E i φ → E i ( ψ ∧ φ ) iff F is closed under finite intersections (i.e., if for any collection of sets { X i } i ∈ I (I finite), for each i ∈ I , X i ∈ N e i ( w ), then ( � i ∈ I X i ) ∈ N e i ( w ). F � E i ψ → ψ iff for each w ∈ W , N e i ( w ) � = ∅ and w ∈ � N e i ( w )

  20. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Deontic and Agency Logic Deontic and agency modal language L DA ( At ) ( At set of atomic propositions) ψ ::= p |¬ ψ | ψ → ψ | O ψ |{ E a ψ } a ∈ Ag where Ag is a set of agents and p ∈ At ∧ , ∨ , ↔ defined as usual, P defined as above.

  21. Outline Motivation Deontic and Agency Logics Analysis suported Adding Context Future work Deontic and Agency Logic Logical properties: PC Any axiomatization of proposition logic. (MP) ψ ψ → φ φ (Te) E i ψ → ¬ ψ (Ce) E i ψ ∧ E i φ → E i ( ψ ∧ φ ) ψ ↔ φ (REe) E i ψ ↔ E i φ (Do) O ψ → ¬ O ¬ ψ ψ ↔ φ (REo) O ψ ↔ O φ (Coe) OE i ψ ∧ OE i φ → OE i ( ψ ∧ φ ) (Cop) OE i ψ ∧ PE i φ → PE i ( ψ ∧ φ ) E i ψ → E k φ (RMep) PE i ψ → PE k φ

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend