Reasoning with Goal Models

@inproceedings{Giorgini2002ReasoningWG,
  title={Reasoning with Goal Models},
  author={Paolo Giorgini and John Mylopoulos and Eleonora Nicchiarelli and Roberto Sebastiani},
  booktitle={ER},
  year={2002}
}
Over the past decade, goal models have been used in Computer Science in order to represent software requirements, business objectives and design qualities. Such models extend traditional AI planning techniques for representing goals by allowing for partially defined and possibly inconsistent goals. This paper presents a formal framework for reasoning with such goal models. In particular, the paper proposes a qualitative and a numerical axiomatization for goal modeling primitives and introduces… Expand
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References

SHOWING 1-10 OF 10 REFERENCES
Goal-Directed Requirements Acquisition
TLDR
An approach to requirements acquisition is presented which is driven by higher-level concepts that are currently not supported by existing formal specification languages, such as goals to be achieved, agents to be assigned, alternatives to be negotiated, etc. Expand
Semantic models for knowledge management
TLDR
A set of modeling constructs for representing goals, events and actors that are relevant to the work of analysts are presented and a qualitative goal analysis procedure is described which makes it possible to reason about a goal model under different assumptions. Expand
Calculating Criticalities
TLDR
A novel method for building Abstrips style abstraction hierarchies in planning to minimize search by limiting backtracking both between abstraction levels and within an abstraction level is presented. Expand
GPS, a program that simulates human thought
TLDR
This work shows that the techniques that have emerged for constructing sophisticated problem-solving programs also provide us with new, strong tools for constructing theories of human thinking that finally reveal with great clarity that the free behavior of a reasonably intelligent human can be understood as the product of a complex but finite and determinate set of laws. Expand
Review of "Problem-Solving Methods in Artificial Intelligence by Nils J. Nilsson", McGraw-Hill Pub.
TLDR
This book is not a survey on theorem proving programs, but the description of a program developed from 1960 to 1965, and includes three chapters that deal with resolution-based theorem-proving in the predicate calculus and its applications to problem solving. Expand
Representing and Using Nonfunctional Requirements: A Process-Oriented Approach
TLDR
A comprehensive framework for representing and using nonfunctional requirements during the development process is proposed and evidence for the power of the framework is provided through the study of accuracy and performance requirements for information systems. Expand
A mathematical theory of evidence
TLDR
This book develops an alternative to the additive set functions and the rule of conditioning of the Bayesian theory: set functions that need only be what Choquet called "monotone of order of infinity." and Dempster's rule for combining such set functions. Expand
Problem-solving methods in artificial intelligence
  • N. Nilsson
  • Computer Science
  • McGraw-Hill computer science series
  • 1971
TLDR
This paper will concern you to try reading problem solving methods in artificial intelligence as one of the reading material to finish quickly. Expand
Giorgini Basi di Dati e Sistemi Informativi II Reasoning with goal models --23 Qualitative approach: example ©
  • Giorgini Basi di Dati e Sistemi Informativi II Reasoning with goal
  • 2003
mantic Models for Knowledge Management