The foundation of a generic theorem prover
Journal of Automated Reasoning
Guiding the construction of textual use case specifications
Data & Knowledge Engineering - Special jubilee issue: DKE 25
The logical foundations of goal-regression planning in autonomous agents
Artificial Intelligence
Formalizing context in intuitionistic type theory
Fundamenta Informaticae
Local models semantics, or contextual reasoning = locality + compatibility
Artificial Intelligence
Representing and Reasoning with Context
AISC '98 Proceedings of the International Conference on Artificial Intelligence and Symbolic Computation
Dependent Intersection: A New Way of Defining Records in Type Theory
LICS '03 Proceedings of the 18th Annual IEEE Symposium on Logic in Computer Science
Goal-Oriented Requirements Engineering: A Guided Tour
RE '01 Proceedings of the Fifth IEEE International Symposium on Requirements Engineering
Type checking dependent (record) types and subtyping
Journal of Functional Programming
Journal of Functional Programming
Records and Record Types in Semantic Theory
Journal of Logic and Computation
Abstraction and Ontology: Questions as Propositional Abstracts in Type Theory with Records
Journal of Logic and Computation
A high-level specification for Semantic Web Service Discovery Services
ICWE '06 Workshop proceedings of the sixth international conference on Web engineering
Towards a Context Theory for Context-aware systems
Proceedings of the 2007 conference on Advances in Ambient Intelligence
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
SHOP: simple hierarchical ordered planner
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
HTN planning for Web Service composition using SHOP2
Web Semantics: Science, Services and Agents on the World Wide Web
A Logical Framework with Dependently Typed Records
Fundamenta Informaticae - Typed Lambda Calculi and Applications 2003, Selected Papers
A Theorem Prover with Dependent Types for Reasoning about Actions
Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium
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The concept of goal is central in Artificial Intelligence and its modelling is a challenging issue. It has been given much attention in areas such as Requirement Engineering (RE) and Planning and Scheduling, where its modelling can support formal reasoning through goal types, goal attributes and relations to other components. However there is a lack of formalisms able to reason with goal structures in dynamic environments. We claim that a logical framework based on Intuitionistic Type Theory and more precisely, on Dependent Record Types is able to address this problem. The formal foundations rely on context modelling through dependent record types allowing partial knowledge and dynamic reasoning. For the purpose of goal modelling, we introduce a family of functions which map Context Record Types to Intentional Record Types expressing their related actions and goals. A case study in planning illustrates this approach.