Volume

Dagstuhl Seminar Proceedings, Volume 5321

Publication Details

  • published at: 2005-11-21
  • Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik

Access Numbers

Documents

No documents found matching your filter selection.
Document
DOI: 10.4230/DagSemProc.05321.1
05321 – Panel on belief change

Authors: Isaac Levi, Giacomo Bonanno, Bernard Walliser, Didier Dubois, Hans Rott, James Delgrande, and Jérôme Lang

Abstract
This document gathers the panelists' contribution.
Cite as

Isaac Levi, Giacomo Bonanno, Bernard Walliser, Didier Dubois, Hans Rott, James Delgrande, and Jérôme Lang. 05321 – Panel on belief change. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{levi_et_al:DagSemProc.05321.1,
  author =	{Levi, Isaac and Bonanno, Giacomo and Walliser, Bernard and Dubois, Didier and Rott, Hans and Delgrande, James and Lang, J\'{e}r\^{o}me},
  title =	{{05321 – Panel on belief change}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--12},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.1},
  URN =		{urn:nbn:de:0030-drops-3580},
  doi =		{10.4230/DagSemProc.05321.1},
  annote =	{Keywords: Belief revision, iterated belief revision, update, merging, dynamic logic, possibility theory, conditionals, social choice, distance, complexity}
}
Document
DOI: 10.4230/DagSemProc.05321.2
05321 Abstracts Collection – Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics

Authors: James Delgrande, Jérôme Lang, Hans Rott, and Jean-Marc Tallon

Abstract
From 07.08.05 to 12.08.05, the Dagstuhl Seminar 05321 ``Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

James Delgrande, Jérôme Lang, Hans Rott, and Jean-Marc Tallon. 05321 Abstracts Collection – Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{delgrande_et_al:DagSemProc.05321.2,
  author =	{Delgrande, James and Lang, J\'{e}r\^{o}me and Rott, Hans and Tallon, Jean-Marc},
  title =	{{05321 Abstracts Collection – Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.2},
  URN =		{urn:nbn:de:0030-drops-3628},
  doi =		{10.4230/DagSemProc.05321.2},
  annote =	{Keywords: Belief revision, iterated belief revision, update, merging, dynamic logic, possibility theory, conditionals, social choice, distance, complexity}
}
Document
DOI: 10.4230/DagSemProc.05321.3
05321 Executive Summary – Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics

Authors: James Delgrande, Jérôme Lang, Hans Rott, and Jean-Marc Tallon

Abstract
The area of belief change studies how a rational agent may maintain its beliefs when obtaining or perceiving new information about the environment. This new information could include properties of the actual world, occurrences of events, and, in the case of multiple agents, actions performed by other agents, as well as the beliefs and preferences of other agents. Not surprisingly, this area has been of interest to researchers in different communities. The initial research in belief change came from the philosophical community, wherein belief change was studied generally from a normative point of view (that is, providing axiomatic foundations about how rational agents should behave with respect to the information flux). Subsequently, computer scientists, especially in the artificial intelligence (AI) and the database (DB) communities, have been building on these results. Belief change, as studied by computer scientists, not only pays attention to behavioural properties characterising evolving databases or knowledge bases, but must also address computational issues such as how to represent beliefs states in a concise way and how to efficiently compute the revision of a belief state. More recently, the economics and game theory community, in particular the emerging field of cognitive economics, has become active in belief change research, adopting a normative point of view, like philosophers, but paying more attention to the ''cognitive plausibility'' or ''fitness'' of the belief change operators. The goal of the seminar was to bring together researchers from these areas, allowing for the identification and addressing of problems of common interest in this area, as well as providing a means to explore ways in which one area may contribute to another.
Cite as

James Delgrande, Jérôme Lang, Hans Rott, and Jean-Marc Tallon. 05321 Executive Summary – Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{delgrande_et_al:DagSemProc.05321.3,
  author =	{Delgrande, James and Lang, J\'{e}r\^{o}me and Rott, Hans and Tallon, Jean-Marc},
  title =	{{05321 Executive Summary – Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.3},
  URN =		{urn:nbn:de:0030-drops-3577},
  doi =		{10.4230/DagSemProc.05321.3},
  annote =	{Keywords: Belief revision, iterated belief revision, update, merging, dynamic logic, possibility theory, conditionals, social choice, distance, complexity}
}
Document
DOI: 10.4230/DagSemProc.05321.4
A simple modal logic for belief revision

Authors: Giacomo Bonanno

Abstract
I propose a modal logic for belief revision based on three operators representing initial beliefs, information and revised beliefs. Three axioms are put forward that express three simple principles: (1) if the agent is informed of something that he considered possible initially, then he incorporates the information in his revised beliefs, (2) if the information received is not surprising then all previous beliefs are maintained (although new beliefs may be added) and (3) any new belief must be deducible from the initial beliefs and the information received. I show that these three axioms characterize the qualitative content of Bayes' rule. I also construct a logic which is sound and complete with respect to the class of frames that satisfy the qualitative Bayes rule. Some interesting theorems are derived for extensions of this logic, for example that the agent initially believes that he later will believe A if and only if he already believes A to start with. I then extend the framework to deal with iterated belief revision and the iterated version of Bayes rule.
Cite as

Giacomo Bonanno. A simple modal logic for belief revision. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{bonanno:DagSemProc.05321.4,
  author =	{Bonanno, Giacomo},
  title =	{{A simple modal logic for belief revision}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--8},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.4},
  URN =		{urn:nbn:de:0030-drops-3302},
  doi =		{10.4230/DagSemProc.05321.4},
  annote =	{Keywords: Belief revision, information, Bayes' rule, iterated revision}
}
Document
DOI: 10.4230/DagSemProc.05321.5
Actions and Belief Revision : A Computational Approach

Authors: Yi Jin and Michael Thielscher

Abstract
The classic AGM theory studies mathematically idealized models of belief revision in two aspects: the properties (i.e., the AGM postulates) a rational revision operator should satisfy; and how to mathematically construct concrete revision operators. In scenarios where new information arrives in sequence, rational revision operators should also respect postulates for iterated revision (e.g., the DP postulates). When applications are concerned, the idealization of the AGM theory has to be lifted, in particular, beliefs of an agent should be represented by a finite belief base. In this talk, we present a computational base revision operator, which satisfies the AGM postulates and some nice postulates for iterated revision. We will also give a formal assessment of the base revision operator in terms of its computational complexity and degree of syntax irrelevance.
Cite as

Yi Jin and Michael Thielscher. Actions and Belief Revision : A Computational Approach. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{jin_et_al:DagSemProc.05321.5,
  author =	{Jin, Yi and Thielscher, Michael},
  title =	{{Actions and Belief Revision : A Computational Approach}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--25},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.5},
  URN =		{urn:nbn:de:0030-drops-3599},
  doi =		{10.4230/DagSemProc.05321.5},
  annote =	{Keywords: Iterated Belief Revision, Belief Base Revision, Computational Complexity}
}
Document
DOI: 10.4230/DagSemProc.05321.6
Belief change and dynamic logic

Authors: Hans van Ditmarsch

Abstract
In this paper we compare standard ways to perform belief change with attempts to model such change with dynamic modal operators. We address both belief expansion, belief contraction, belief revision, and update. Public announcement logic is an implementation of a belief expansion operator in a dynamic epistemic setting. The postulates of success and minimal change cannot be satisfied in their original AGM formulation. Dynamic doxastic logic provides various implementations of a belief revision operator in a dynamic epistemic setting. We provide an example of the application of such a dynamic doxastic semantics, which can also be seen as a realization of a proposal by Spohn. The purpose of this paper is to provide an overview of different approaches to dynamic logics for belief change, including some of our own contributions to the area, in a way that is accessible to an interdisciplinary audience. It does not contain new technical results not published elsewhere. However, the comparison of different approaches provides, we hope, new insights not seen before. A final version of this paper may include new technical results.
Cite as

Hans van Ditmarsch. Belief change and dynamic logic. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{vanditmarsch:DagSemProc.05321.6,
  author =	{van Ditmarsch, Hans},
  title =	{{Belief change and dynamic logic}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.6},
  URN =		{urn:nbn:de:0030-drops-3376},
  doi =		{10.4230/DagSemProc.05321.6},
  annote =	{Keywords: Belief revision, dynamic epistemic logic}
}
Document
DOI: 10.4230/DagSemProc.05321.7
Belief Change with Noisy Sensing and Introspection

Authors: Steven Shapiro

Abstract
In this paper, we generalize the framework of Shapiro et al. [2000], where belief change due to sensing was combined with belief introspection in the situation calculus. In that framework, sensing was assumed to be infallible and the plausibilities of alternate situations (i.e., possible worlds) were fixed in the initial state, never to be updated. Here, we relax both assumptions. That is, we model noisy sensors whose readings may stray from reality and may return different values in subsequent readings. We also allow the plausibilities of situations to change over time, bringing the framework more in line with traditional models of belief change. We give some properties of our axiomatization and show that it does not suffer from the problems with combining sensing, introspection, and plausibility update described in Shapiro et al. [2000].
Cite as

Steven Shapiro. Belief Change with Noisy Sensing and Introspection. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

Copy BibTex To Clipboard

@InProceedings{shapiro:DagSemProc.05321.7,
  author =	{Shapiro, Steven},
  title =	{{Belief Change with Noisy Sensing and Introspection}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.7},
  URN =		{urn:nbn:de:0030-drops-4632},
  doi =		{10.4230/DagSemProc.05321.7},
  annote =	{Keywords: Belief change, noisy sensing, theories of action, situation calculus.}
}
Document
DOI: 10.4230/DagSemProc.05321.8
Belief merging, judgment aggregation and some links with social choice theory

Authors: Daniel Eckert and Gabriella Pigozzi

Abstract
In this paper we explore the relation between three areas: judgment aggregation, belief merging and social choice theory. Judgment aggregation studies how to aggregate individual judgments on logically interconnected propositions into a collective decision on the same propositions. When majority voting is applied to some propositions (the premises) it may however give a different outcome than majority voting applied to another set of propositions (the conclusion). Starting from this so-called doctrinal paradox, the paper surveys the literature on judgment aggregation (and its relation to preference aggregation), and shows that the application of a well known belief merging operator can dissolve the paradox. Finally, the use of distances is shown to establish a link between belief merging and preference aggregation in social choice theory.
Cite as

Daniel Eckert and Gabriella Pigozzi. Belief merging, judgment aggregation and some links with social choice theory. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{eckert_et_al:DagSemProc.05321.8,
  author =	{Eckert, Daniel and Pigozzi, Gabriella},
  title =	{{Belief merging, judgment aggregation and some links with social choice theory}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.8},
  URN =		{urn:nbn:de:0030-drops-3330},
  doi =		{10.4230/DagSemProc.05321.8},
  annote =	{Keywords: Judgment aggregation, belief merging, preference aggregation, social choice theory}
}
Document
DOI: 10.4230/DagSemProc.05321.9
Beyond the Rational Explanation

Authors: Richard Booth and Alexander Nittka

Abstract
In recent work, we proposed a method of reconstructing an agent's epistemic state from observations of its revision history. These observations contained information of what the agent believed after receiving which input. In this presentation we intend to illustrate an extension of the work - allowing the observations to contain additional information of what the agent did *not* believe after a revision step. We will show that the BR-framework we assumed is only partially satisfactory for handling the extended observations.
Cite as

Richard Booth and Alexander Nittka. Beyond the Rational Explanation. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{booth_et_al:DagSemProc.05321.9,
  author =	{Booth, Richard and Nittka, Alexander},
  title =	{{Beyond the Rational Explanation}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--17},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.9},
  URN =		{urn:nbn:de:0030-drops-3326},
  doi =		{10.4230/DagSemProc.05321.9},
  annote =	{Keywords: Belief revision, iterated revision, non-prioritised revision, non-monotonic reasoning, rational closure, rational explanation}
}
Document
DOI: 10.4230/DagSemProc.05321.10
Degrees of Belief

Authors: Isaac Levi

Abstract
A discussion of three kinds of degree of belief: subjective (credal) probability, degree of belief in the maximizing sense (expected epistemic utility) and degree of belief in the satisficing sense (Shackle type degrees of belief). The relations between these concepts and full belief (absolute certainty) and other qualitative assessments of belief (mere belief or plain belief) will be considered.
Cite as

Isaac Levi. Degrees of Belief. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-35, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{levi:DagSemProc.05321.10,
  author =	{Levi, Isaac},
  title =	{{Degrees of Belief}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--35},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.10},
  URN =		{urn:nbn:de:0030-drops-3271},
  doi =		{10.4230/DagSemProc.05321.10},
  annote =	{Keywords: Inductive expansion, credal probability, maximizing and satisficing, full belief.}
}
Document
DOI: 10.4230/DagSemProc.05321.11
Iterated Belief Change and the Levi Identity

Authors: Abhaya Nayak, Randy Goebel, Mehmet Orgun, and Tam Pham

Abstract
Most works on iterated belief change have focussed on iterated belief revision, namely, on how to compute (K star x) star y. However, historically, belief revision has been defined in terms of belief expansion and belief contraction that have been viewed as primary operations. Accordingly, what we should be looking at are constructions like: (K+x)+y, (K-x)+y, (K-x)+y and (K-x)-y. The first two constructions are relatively innocuous. The last two are, however, more problematic. We look at these sequential operations. In the process, we use the Levi Identity as the guiding principle behind state changes (as opposed to belief set changes).
Cite as

Abhaya Nayak, Randy Goebel, Mehmet Orgun, and Tam Pham. Iterated Belief Change and the Levi Identity. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{nayak_et_al:DagSemProc.05321.11,
  author =	{Nayak, Abhaya and Goebel, Randy and Orgun, Mehmet and Pham, Tam},
  title =	{{Iterated Belief Change and the Levi Identity}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.11},
  URN =		{urn:nbn:de:0030-drops-3317},
  doi =		{10.4230/DagSemProc.05321.11},
  annote =	{Keywords: Iterated belief change, iterated belief contraction, Levi Identity}
}
Document
DOI: 10.4230/DagSemProc.05321.12
On updates with integrity constraints

Authors: Andreas Herzig

Abstract
In his paper ``Making Counterfactual Assumptions'' Frank Veltman has proposed a new semantics for counterfactual conditionals. It is based on a particular update operation, and we show that it provides a new and interesting way of updating logical databases under integrity constraints which generalizes in particular Winslett's PMA.
Cite as

Andreas Herzig. On updates with integrity constraints. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{herzig:DagSemProc.05321.12,
  author =	{Herzig, Andreas},
  title =	{{On updates with integrity constraints}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.12},
  URN =		{urn:nbn:de:0030-drops-3344},
  doi =		{10.4230/DagSemProc.05321.12},
  annote =	{Keywords: Updates, PMA, prime implicants}
}
Document
DOI: 10.4230/DagSemProc.05321.13
Probabilistic Abduction Without Priors

Authors: Didier Dubois, Angelo Gilio, and Gabriele Kern-Isberner

Abstract
This paper considers the simple problem of abduction in the framework of Bayes theorem, i.e. computing a posterior probability of an hypothesis when its prior probability is not available, either because there are no statistical data on which to rely on, or simply because a human expert is reluctant to provide a subjective assessment of this prior probability. The problem remains an open issue since a simple sensitivity analysis on the value of the unknown prior yields empty results. This paper tries to survey and comment on various solutions to this problem: the use of likelihood functions (as in classical statistics), the use of information principles like maximal entropy, Shapley value, maximum likelihood. We also study the problem in the setting of de Finetti coherence approach, which does not exclude conditioning on contingent events with zero probability. We show that the ad hoc likelihood function method, that can be reinterpreted in terms of possibility theory, is consistent with most other formal approaches. However, the maximal entropy solution is significantly different.
Cite as

Didier Dubois, Angelo Gilio, and Gabriele Kern-Isberner. Probabilistic Abduction Without Priors. In Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics. Dagstuhl Seminar Proceedings, Volume 5321, pp. 1-8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

Copy BibTex To Clipboard

@InProceedings{dubois_et_al:DagSemProc.05321.13,
  author =	{Dubois, Didier and Gilio, Angelo and Kern-Isberner, Gabriele},
  title =	{{Probabilistic Abduction Without Priors}},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  pages =	{1--8},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5321},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05321.13},
  URN =		{urn:nbn:de:0030-drops-3286},
  doi =		{10.4230/DagSemProc.05321.13},
  annote =	{Keywords: Conditional probability, Bayes Theorem, imprecise probability, entropy, possibility theory, maximum likelihood}
}

Filters

  • Authors
  • B
  • Bonanno, Giacomo
  • Booth, Richard
  • D
  • Delgrande, James
  • Dubois, Didier
  • E
  • Eckert, Daniel
  • G
  • Gilio, Angelo
  • Goebel, Randy
  • H
  • Herzig, Andreas
  • J
  • Jin, Yi
  • K
  • Kern-Isberner, Gabriele
  • L
  • Lang, Jérôme
  • Levi, Isaac
  • N
  • Nayak, Abhaya
  • Nittka, Alexander
  • O
  • Orgun, Mehmet
  • P
  • Pham, Tam
  • Pigozzi, Gabriella
  • R
  • Rott, Hans
  • S
  • Shapiro, Steven
  • T
  • Tallon, Jean-Marc
  • Thielscher, Michael
  • V
  • van Ditmarsch, Hans
  • W
  • Walliser, Bernard

Any Issues?
X

Feedback on the Current Page

CAPTCHA

Thanks for your feedback!

Feedback submitted to Dagstuhl Publishing

Could not send message

Please try again later or send an E-mail
© 2023-2025 Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact