Logic programs with classical negation
Logic programming
The well-founded semantics for general logic programs
Journal of the ACM (JACM)
Theoretical Computer Science - Special issue: database theory
LUPS---a language for updating logic programs
Artificial Intelligence
Generalizing Updates: From Models to Programs
LPKR '97 Selected papers from the Third International Workshop on Logic Programming and Knowledge Representation
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Updating Extended Logic Programs through Abduction
LPNMR '99 Proceedings of the 5th International Conference on Logic Programming and Nonmonotonic Reasoning
METATEM: A Framework for Programming in Temporal Logic
Stepwise Refinement of Distributed Systems, Models, Formalisms, Correctness, REX Workshop
Non-Markovian control in the situation calculus
Eighteenth national conference on Artificial intelligence
On properties of update sequences based on causal rejection
Theory and Practice of Logic Programming
Reasoning about evolving nonmonotonic knowledge bases
ACM Transactions on Computational Logic (TOCL)
EVOLP: Tranformation-Based Semantics
Computational Logic in Multi-Agent Systems
Computational Logic in Multi-Agent Systems
Evolving Logic Programming Based Agents with Temporal Operators
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Non-monotonic temporal logics for goal specification
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Compiling control knowledge into preconditions for planning in the situation calculus
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A framework for declarative update specifications in logic programs
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Adding evolving abilities to a multi-agent system
CLIMA VII'06 Proceedings of the 7th international conference on Computational logic in multi-agent systems
On Semantic Update Operators for Answer-Set Programs
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Non-Markovian control in the Situation Calculus
Artificial Intelligence
Irrelevant updates and nonmonotonic assumptions
JELIA'06 Proceedings of the 10th European conference on Logics in Artificial Intelligence
From logic programs updates to action description updates
CLIMA'04 Proceedings of the 5th international conference on Computational Logic in Multi-Agent Systems
DALT'09 Proceedings of the 7th international conference on Declarative Agent Languages and Technologies
CLIMA'11 Proceedings of the 12th international conference on Computational logic in multi-agent systems
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Logic Programming Update Languages have been proposed as extensions of logic programming that allow specifying and reasoning about knowledge bases where both extensional knowledge (facts) as well as intentional knowledge (rules) may change over time as a result of updates. Despite their generality, these languages are limited in that they do not provide a means to directly access past states of the evolving knowledge. They only allow for so-called Markovian change, i.e. change which is entirely determined by the current state of the knowledge base. After motivating the need for non-Markovian change, we extend the language EVOLP - a Logic Programming Update Language - with Linear Temporal Logic-like operators, which allow referring to the history of an evolving knowledge base. We then show that it is in fact possible to embed the extended EVOLP into the original one, thus demonstrating that EVOLP itself is expressive enough to encode non-Markovian dynamic knowledge bases. This embedding additionally sheds light on the relationship between Logic Programming Update Languages and Modal Temporal Logics. The embedding is also the starting point of our implementation.