Toward a Logic for Qualitative Decision Theory

@inproceedings{Boutilier1994TowardAL,
  title={Toward a Logic for Qualitative Decision Theory},
  author={Craig Boutilier},
  booktitle={KR},
  year={1994}
}

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References

SHOWING 1-10 OF 32 REFERENCES

Specification and Evaluation of Preferences for Planning under Uncertainty

This paper describes a framework for specifying behavior in terms of preference sentences of the form "prefer a to --a if3", to be interpreted as "a is preferred to -~a when all else is fixed in any

A Modal Characterization of Defeasible Deontic Conditionals and Conditional Goals

We explore the notions of permission and obligation and their role in knowledge representation, especially as guides to action for planning systems. We first present a simple conditional deontic

Qualitative probabilities: a normative framework for commonsense reasoning

TLDR
This dissertation proposes a formalism that facilitates reasoning with qualitative rules, facts, and deductively closed beliefs, yet permits us to retract beliefs in response to changing contexts and imprecise observations, and provides the necessary machinery for embodying belief updates and belief revision.

Decision-theoretic Defaults

This paper considers defaults as summaries of decision-theoretic deliberations. We investigate the idea that the default e ! a means that a is the optimal action based on all we know (contingently)

What is a Default Priority ?

The notion of default priority has played a central role in default reasoning research. We show that Pearl’s Z-ranking of default rules need not always correspond to priorities. System Z can still be

System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning

TLDR
The Z-ordering is defined, two extensions are then described, maximum-entropy and conditional entailment, which trade in computational simplicity for semantic refinements.

Inaccessible Worlds and Irrelevance: Preliminary Report

TLDR
This work proposes an extension of the (modal) conditional logics in which one can express the truth of sentences at inaccessible possible worlds and shows how this logic can be used to axiomatize a simple preference relation on the modal structures of this logic.

Preferential Semantics for Goals

TLDR
A preferential semantics for goals is provided that grounds them in decision theory and preserves the validity of some, but not all, common goal operations performed in planning, thus providing a new framework for knowledge-level analysis of planning systems.

All I Know: A Study in Autoepistemic Logic

  • H. Levesque
  • Philosophy, Computer Science
    Artif. Intell.
  • 1990

Intention is Choice with Commitment