Representing incomplete knowledge in abductive logic programming
ILPS '93 Proceedings of the 1993 international symposium on Logic programming
Approximate reasoning about actions in presence of sensing and incomplete information
ILPS '97 Proceedings of the 1997 international symposium on Logic programming
Normal multimodal logics with interaction axioms
Labelled deduction
Formalizing sensing actions—a transition function based approach
Artificial Intelligence
User Modeling and User-Adapted Interaction
A Tableau for Multimodal Logics and Some (Un)Decidability Results
TABLEAUX '98 Proceedings of the International Conference on Automated Reasoning with Analytic Tableaux and Related Methods
Issues in Agent Communication: An Introduction
Issues in Agent Communication
Planning with Sensing for a Mobile Robot
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
Modal Tableaux for Reasoning About Actions and Plans
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
Dialogues for Negotiation: Agent Varieties and Dialogue Sequences
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
PDL-based framework for reasoning about actions
AI*IA '95 Proceedings of the 4th Congress of the Italian Association for Artificial Intelligence on Topics in Artificial Intelligence
An Abductive Proof Procedure for Reasoning About Actions in Modal Logic Programming
NMELP '96 Selected papers from the Non-Monotonic Extensions of Logic Programming
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
What is planning in the presence of sensing?
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Adding knowledge to the action description language A
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Goal Preservation by Choreography-Driven Matchmaking
Service-Oriented Computing - ICSOC 2007 Workshops
Reasoning About Interaction Protocols for Web Service Composition
Electronic Notes in Theoretical Computer Science (ENTCS)
An overview of AI research in Italy
Artificial intelligence
Knowledge representation and non-monotonic reasoning
A 25-year perspective on logic programming
Agents, multi-agent systems and declarative programming: what, when, where, why, who, how?
A 25-year perspective on logic programming
Annals of Mathematics and Artificial Intelligence
Reasoning about agents' interaction protocols inside DCaseLP
DALT'04 Proceedings of the Second international conference on Declarative Agent Languages and Technologies
Verifying protocol conformance for logic-based communicating agents
CLIMA'04 Proceedings of the 5th international conference on Computational Logic in Multi-Agent Systems
Personalization for the semantic web
Proceedings of the First international conference on Reasoning Web
Verification of protocol conformance and agent interoperability
CLIMA'05 Proceedings of the 6th international conference on Computational Logic in Multi-Agent Systems
Temporal deontic action logic for the verification of compliance to norms in ASP
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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In this paper we describe a language for reasoning about actions that can be used for modelling and for programming rational agents. We propose a modal approach for reasoning about dynamic domains in a logic programming setting. Agent behavior is specified by means of complex actions which are defined using modal inclusion axioms. The language is able to handle knowledge producing actions as well as actions which remove information. The problem of reasoning about complex actions with incomplete knowledge is tackled and the temporal projection and planning problems is addressed; more specifically, a goal directed proof procedure is defined, which allows agents to reason about complex actions and to generate conditional plans. We give a non-monotonic solution for the frame problem by making use of persistency assumptions in the context of an abductive characterization. The language has been used for implementing an adaptive web-based system.