4 Search Results for "Mantenoglou, Periklis"

Document
Short Paper
DOI: 10.4230/LIPIcs.TIME.2025.21
A Translation of Probabilistic Event Calculus into Markov Decision Processes (Short Paper)

Authors: Lyris Xu, Fabio Aurelio D'Asaro, and Luke Dickens

Published in: LIPIcs, Volume 355, 32nd International Symposium on Temporal Representation and Reasoning (TIME 2025)

Abstract
Probabilistic Event Calculus (PEC) is a logical framework for reasoning about actions and their effects in uncertain environments, which enables the representation of probabilistic narratives and computation of temporal projections. The PEC formalism offers significant advantages in interpretability and expressiveness for narrative reasoning. However, it lacks mechanisms for goal-directed reasoning. Our work bridges this gap by developing a formal translation of PEC domains into Markov Decision Processes (MDPs), introducing the concept of "action-taking situations" to preserve PEC’s flexible action semantics. The resulting PEC-MDP formalism enables the extensive collection of algorithms and theoretical tools developed for MDPs to be applied to PEC’s interpretable narrative domains. We demonstrate how the translation supports both temporal reasoning tasks and objective-driven planning, with methods for mapping learned policies back into human-readable PEC representations, maintaining interpretability while extending PEC’s capabilities.
Cite as

Lyris Xu, Fabio Aurelio D'Asaro, and Luke Dickens. A Translation of Probabilistic Event Calculus into Markov Decision Processes (Short Paper). In 32nd International Symposium on Temporal Representation and Reasoning (TIME 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 355, pp. 21:1-21:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{xu_et_al:LIPIcs.TIME.2025.21,
  author =	{Xu, Lyris and D'Asaro, Fabio Aurelio and Dickens, Luke},
  title =	{{A Translation of Probabilistic Event Calculus into Markov Decision Processes}},
  booktitle =	{32nd International Symposium on Temporal Representation and Reasoning (TIME 2025)},
  pages =	{21:1--21:5},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-401-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{355},
  editor =	{Vidal, Thierry and Wa{\l}\k{e}ga, Przemys{\l}aw Andrzej},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2025.21},
  URN =		{urn:nbn:de:0030-drops-244674},
  doi =		{10.4230/LIPIcs.TIME.2025.21},
  annote =	{Keywords: Probabilistic Event Calculus, Markov Decision Processes, Temporal Projection, Narrative Reasoning}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.TIME.2025.18
Prompting LLMs for the Run-Time Event Calculus (Short Paper)

Authors: Andreas Kouvaras, Periklis Mantenoglou, and Alexander Artikis

Published in: LIPIcs, Volume 355, 32nd International Symposium on Temporal Representation and Reasoning (TIME 2025)

Abstract
Composite activity recognition systems analyse streams of low-level, symbolic events to identify instances of complex activities based on their formal definitions. Crafting these definitions is a challenging task, as it often requires specifying intricate spatio-temporal constraints, and acquiring labeled data for automated learning is difficult. To address this challenge, we introduce a method that leverages pre-trained Large Language Models (LLMs) to generate composite activity definitions, in the language of the Run-Time Event Calculus, from natural language descriptions.
Cite as

Andreas Kouvaras, Periklis Mantenoglou, and Alexander Artikis. Prompting LLMs for the Run-Time Event Calculus (Short Paper). In 32nd International Symposium on Temporal Representation and Reasoning (TIME 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 355, pp. 18:1-18:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{kouvaras_et_al:LIPIcs.TIME.2025.18,
  author =	{Kouvaras, Andreas and Mantenoglou, Periklis and Artikis, Alexander},
  title =	{{Prompting LLMs for the Run-Time Event Calculus}},
  booktitle =	{32nd International Symposium on Temporal Representation and Reasoning (TIME 2025)},
  pages =	{18:1--18:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-401-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{355},
  editor =	{Vidal, Thierry and Wa{\l}\k{e}ga, Przemys{\l}aw Andrzej},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2025.18},
  URN =		{urn:nbn:de:0030-drops-244641},
  doi =		{10.4230/LIPIcs.TIME.2025.18},
  annote =	{Keywords: Event Calculus, temporal pattern matching, composite event recognition}
}
Document
DOI: 10.4230/LIPIcs.TIME.2024.6
Extending the Range of Temporal Specifications of the Run-Time Event Calculus

Authors: Periklis Mantenoglou and Alexander Artikis

Published in: LIPIcs, Volume 318, 31st International Symposium on Temporal Representation and Reasoning (TIME 2024)

Abstract
Composite event recognition (CER) frameworks reason over streams of low-level, symbolic events in order to detect instances of spatio-temporal patterns defining high-level, composite activities. The Event Calculus is a temporal, logical formalism that has been used to define composite activities in CER, while RTEC_{∘} is a formal CER framework that detects composite activities based on their Event Calculus definitions. RTEC_{∘}, however, cannot handle every possible set of Event Calculus definitions for composite activities, limiting the range of CER applications supported by RTEC_{∘}. We propose RTEC_{fl}, an extension of RTEC_{∘} that supports arbitrary composite activity specifications in the Event Calculus. We present the syntax, semantics, reasoning algorithms and time complexity of RTEC_{fl}. Our analysis demonstrates that RTEC_{fl} extends the scope of RTEC_{∘}, supporting every possible set of Event Calculus definitions for composite activities, while maintaining the high reasoning efficiency of RTEC_{∘}.
Cite as

Periklis Mantenoglou and Alexander Artikis. Extending the Range of Temporal Specifications of the Run-Time Event Calculus. In 31st International Symposium on Temporal Representation and Reasoning (TIME 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 318, pp. 6:1-6:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

Copy BibTex To Clipboard

@InProceedings{mantenoglou_et_al:LIPIcs.TIME.2024.6,
  author =	{Mantenoglou, Periklis and Artikis, Alexander},
  title =	{{Extending the Range of Temporal Specifications of the Run-Time Event Calculus}},
  booktitle =	{31st International Symposium on Temporal Representation and Reasoning (TIME 2024)},
  pages =	{6:1--6:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-349-2},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{318},
  editor =	{Sala, Pietro and Sioutis, Michael and Wang, Fusheng},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2024.6},
  URN =		{urn:nbn:de:0030-drops-212135},
  doi =		{10.4230/LIPIcs.TIME.2024.6},
  annote =	{Keywords: Event Calculus, temporal pattern matching, composite event recognition}
}
Document
Extended Abstract
DOI: 10.4230/LIPIcs.TIME.2023.14
An Event Calculus for Run-Time Reasoning (Extended Abstract)

Authors: Periklis Mantenoglou

Published in: LIPIcs, Volume 278, 30th International Symposium on Temporal Representation and Reasoning (TIME 2023)

Abstract
In stream reasoning, the task is to derive high level abstractions of large data streams with minimal latency, as required by contemporary applications. This work presents an Event Calculus-based approach to stream reasoning, highlighting its core features and recent extensions.
Cite as

Periklis Mantenoglou. An Event Calculus for Run-Time Reasoning (Extended Abstract). In 30th International Symposium on Temporal Representation and Reasoning (TIME 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 278, pp. 14:1-14:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{mantenoglou:LIPIcs.TIME.2023.14,
  author =	{Mantenoglou, Periklis},
  title =	{{An Event Calculus for Run-Time Reasoning}},
  booktitle =	{30th International Symposium on Temporal Representation and Reasoning (TIME 2023)},
  pages =	{14:1--14:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-298-3},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{278},
  editor =	{Artikis, Alexander and Bruse, Florian and Hunsberger, Luke},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2023.14},
  URN =		{urn:nbn:de:0030-drops-191046},
  doi =		{10.4230/LIPIcs.TIME.2023.14},
  annote =	{Keywords: Event Calculus, temporal pattern matching, complex event recognition}
}
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