Works by Andreas Herzig ( view other items matching `Andreas Herzig`, view all matches )

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Profile: Andreas Herzig (Université de Toulouse)
  1. Luis Farinas del Cerro, Andreas Herzig & Jerome Mengin (eds.) (2012). Logics in Artificial Intelligence. Springer.
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  2. Andreas Herzig & Emiliano Lorini (2011). Editorial Introduction: Logical Methods for Social Concepts. Journal of Philosophical Logic 40 (4):441-443.
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  3. Andreas Herzig & Emiliano Lorini (2010). A Dynamic Logic of Agency I: Stit, Capabilities and Powers. Journal of Logic, Language and Information 19 (1).
    The aim of this paper, is to provide a logical framework for reasoning about actions, agency, and powers of agents and coalitions in game-like multi-agent systems. First we define our basic Dynamic Logic of Agency ( ). Differently from other logics of individual and coalitional capability such as Alternating-time Temporal Logic (ATL) and Coalition Logic, in cooperation modalities for expressing powers of agents and coalitions are not primitive, but are defined from more basic dynamic logic operators of action and (historic) (...)
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  4. Hans Van Ditmarsch, Andreas Herzig, Jérôme Lang & Pierre Marquis (2009). Introspective Forgetting. Synthese 169 (2):405 - 423.
    We model the forgetting of propositional variables in a modal logical context where agents become ignorant and are aware of each others' or their own resulting ignorance. The resulting logic is sound and complete. It can be compared to variable-forgetting as abstraction from information, wherein agents become unaware of certain variables: by employing elementary results for bisimulation, it follows that beliefs not involving the forgotten atom(s) remain true.
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  5. Andreas Herzig, Tiago de Lima & Emiliano Lorini (2009). On the Dynamics of Institutional Agreements. Synthese 171 (2).
    In this paper we investigate a logic for modelling individual and collective acceptances that is called acceptance logic. The logic has formulae of the form reading ‘if the agents in the set of agents G identify themselves with institution x then they together accept that ’. We extend acceptance logic by two kinds of dynamic modal operators. The first kind are public announcements of the form , meaning that the agents learn that is the case in context x . Formulae (...)
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  6. Hans van Ditmarsch, Andreas Herzig, Jérôme Lang & Pierre Marquis (2009). Introspective Forgetting. Synthese 169 (2).
    We model the forgetting of propositional variables in a modal logical context where agents become ignorant and are aware of each others’ or their own resulting ignorance. The resulting logic is sound and complete. It can be compared to variable-forgetting as abstraction from information, wherein agents become unaware of certain variables: by employing elementary results for bisimulation, it follows that beliefs not involving the forgotten atom(s) remain true.
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  7. Philippe Balbiani, Alexandru Baltag, Hans van Ditmarsch, Andreas Herzig, Tomohiro Hoshi & Tiago de Lima (2008). Knowable' as 'Known After an Announcement. Review of Symbolic Logic 1 (3):305-334.
  8. Philippe Balbiani, Andreas Herzig & Nicolas Troquard (2008). Alternative Axiomatics and Complexity of Deliberative Stit Theories. Journal of Philosophical Logic 37 (4).
    We propose two alternatives to Xu’s axiomatization of Chellas’s STIT. The first one simplifies its presentation, and also provides an alternative axiomatization of the deliberative STIT. The second one starts from the idea that the historic necessity operator can be defined as an abbreviation of operators of agency, and can thus be eliminated from the logic of Chellas’s STIT. The second axiomatization also allows us to establish that the problem of deciding the satisfiability of a STIT formula without temporal operators (...)
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  9. Andreas Herzig (2008). Book Reviews. [REVIEW] Studia Logica 89 (3).
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  10. Emiliano Lorini & Andreas Herzig (2008). A Logic of Intention and Attempt. Synthese 163 (1):45 - 77.
    We present a modal logic called (logic of intention and attempt) in which we can reason about intention dynamics and intentional action execution. By exploiting the expressive power of , we provide a formal analysis of the relation between intention and action and highlight the pivotal role of attempt in action execution. Besides, we deal with the problems of instrumental reasoning and intention persistence.
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  11. Andreas Herzig & Ivan Varzinczak (2007). Metatheory of Actions: Beyond Consistency. Artificial Intelligence 171 (1):951–984.
    Traditionally, consistency is the only criterion for the quality of a theory in logic-based approaches to reasoning about actions. This work goes beyond that and contributes to the metatheory of actions by investigating what other properties a good domain description should have. We state some metatheoretical postulates concerning this sore spot. When all postulates are satisfied we call the action theory modular. Besides being easier to understand and more elaboration tolerant in McCarthy’s sense, modular theories have interesting properties. We point (...)
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  12. Robert Demolombe, Andreas Herzig & Ivan Varzinczak (2003). Regression in Modal Logic. Journal of Applied Non-Classical Logic 13 (2):165-185.
    In this work we propose an encoding of Reiter’s Situation Calculus solution to the frame problem into the framework of a simple multimodal logic of actions. In particular we present the modal counterpart of the regression technique. This gives us a theorem proving method for a relevant fragment of our modal logic.
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  13. G. Crocco, Luis Fariñas del Cerro & Andreas Herzig (eds.) (1995). Conditionals: From Philosophy to Computer Science. Oxford University Press.
    This book looks at the ways in which conditionals, an integral part of philosophy and logic, can be of practical use in computer programming. It analyzes the different types of conditionals, including their applications and potential problems. Other topics include defeasible logics, the Ramsey test, and a unified view of consequence relation and belief revision. Its implications will be of interest to researchers in logic, philosophy, and computer science, particularly artificial intelligence.
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