How to decide what to do?

@article{Dastani2005HowTD,
  title={How to decide what to do?},
  author={Mehdi Dastani and Joris Hulstijn and Leendert van der Torre},
  journal={Eur. J. Oper. Res.},
  year={2005},
  volume={160},
  pages={762-784}
}

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References

SHOWING 1-10 OF 71 REFERENCES

Toward a Logic for Qualitative Decision Theory

Parameters for Utilitarian Desires in a Qualitative Decision Theory

This paper defines parameterized desires in an extension of Lang's framework of qualitative decision theory, in which utility functions are constructed from desires, and introduces three parameters, which help to implement different facets of risk.

Possibility Theory as a Basis for Qualitative Decision Theory

A counterpart to von Neumann and Morgenstern' expected utility theory is proposed in the framework of possibility theory, representing a preference ordering among possibility distributions that satisfies a series of axioms pertaining to decision-maker's behavior.

A model for deliberation, action, and introspection

  • J. Doyle
  • Philosophy, Computer Science
    SGAR
  • 1981
This thesis investigates the problem of controlling or directing the reasoning and actions of a computer program to view reasoning as a species of action, so that a program might apply its reasoning powers to the task of deciding what inferences to make as well as to deciding what other actions to take.

Desires and Defaults: A Framework for Planning with Inferred Goals

A formalism designed to integrate reasoning about desires with planning, using the approach to nonmonotonic logic known as Default Logic, which is capable of modeling a wide range of common-sense practical arguments and can serve as a more general and flexible model for agent architectures.

From Conditional Oughts to Qualitative Decision Theory

Decision Procedures for BDI Logics

This paper provides a family of multi-modal branching-time BDI logics with a possible-worlds semantics, categorizes them, provides sound and complete axiomatizations, and gives constructive tableaubased decision procedures for testing the satisfiability and validity of formulas.

Decision-Theoretic Planning: Structural Assumptions and Computational Leverage

This paper presents an overview and synthesis of MDP-related methods, showing how they provide a unifying framework for modeling many classes of planning problems studied in AI, and describes structural properties of M DPs that, when exhibited by particular classes of problems, can be exploited in the construction of optimal or approximately optimal policies or plans.

Modeling Rational Agents within a BDI-Architecture

A formalization of intentions based on a branching-time possible-worlds model is presented and it is shown how the formalism realizes many of the important elements of Bratman's theory of intention.

Deliberation and its Role in the Formation of Intentions

...