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Papers

Year 2022

  • A Comprehensive Framework for Learning Declarative Action Models.  Diego Aineto, Sergio Jiménez and Eva Onaindia. Journal of Artificial Intelligence Research. 2022.
  • Learning Temporal Action Models From Multiple Plans: a Constraint Satisfaction Approach. Antonio Garrido.  Engineering Applications of Artificial Intelligence. 2022
  • A Constraint-Based Approach to Learn Temporal Features on Action Models from Multiple Plans. Antonio Garrido. Constraints. 2022
  • Computing Programs for Generalized Planning as Heuristic Search. Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. International Joint Conference on Artificial Intelligence. 2022. (Sister Conferences Best Paper)
  • Explaining the Behaviour of Hybrid Systems with PDDL+ Planning. Diego Aineto, Eva Onaindia, Miquel Ramírez, Enrico Scala, Ivan Serina. International Joint Conference on Artificial Intelligence, 2022
  • Scaling-up Generalized Planning as Heuristic Search with Landmarks. Javier Segovia-Aguas, Sergio Jiménez, Laura Sebastiá and Anders Jonsson. International Symposium on Combinatorial Search. 2022.
  • Representation and Synthesis of C++ Programs for Generalized Planning. Javier Segovia-Aguas, Yolanda E-Martín and Sergio Jiménez. IJCAI22 Workshop on Generalization in Planning. 2022.
  • Team Orienteering Problem with Time Windows and Variable Profit. Eliseo Marzal, Laura Sebastia. 17th Conference on Computer Science and Intelligence Systems. 2022.

Year 2021

  • On the Representativeness of OpenStreetMap for the Evaluation of Country Tourism Competitiveness.  Alexander Bustamante, Laura Sebastiá, Eva Onaindía. International Journal of Geo-Information. 2021
  • BITOUR: A Business Intelligence Platform for Tourism Analysis.  Alexander Bustamante, Laura Sebastiá, Eva Onaindía. International Journal of Geo-Information. 2021
  • Deliberative Context-Aware Ambient Intelligence System for Assisted Living Homes.  Mohannad Babli, Jaime Andrés Rincón, Eva Onaindia, Carlos Carrascosa, Vicente Julián. 2021.
  • A Decentralized Coordination Approach for Multi-Robot Production Planning in Open Shared Factories.  Marin Lujak, Alberto Fernández and Eva Onaindia. 2021.
  • Generalized Planning as Heuristic Search. Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. International Conference on Automated Planning and Scheduling. 2021.
  • Generalized Temporal Inference via Planning. Diego Aineto, Sergio Jiménez and Eva Onaindia. International Conference on Principles of Knowledge Representation and Reasoning. 2021.

Year 2020

  • Explanation-Based Learning of Action Models. Diego Aineto, Sergio Jiménez and Eva Onaindia. Knowledge Engineering Tools and Techniques for AI Planning. 2020.
  • Observation decoding with sensor models: recognition tasks via classical planning. Diego Aineto, Sergio Jiménez and Eva Onaindia. International Conference on Automated Planning and Scheduling. 2020.
  • Generalized Planning with Positive and Negative Examples. Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. AAAI Conference on Artificial Intelligence. 2020.
  • Learning Temporal Action Models via Constraint Programming. Antonio Garrido and Sergio Sergio Jiménez. European Conference on Artificial Intelligence. 2020.
  • A Decentralized Multi-Agent Coordination Method for Dynamic and Constrained Production Planning (Extended Abstract). Marin Lujak, Alberto Fernández and Eva Onaindia. International Conference on Autonomous Agents and Multiagent Systems. 2020
  • Agent behaviour recognition using text analysis. Stanislav Sitanskiy, Laura Sebastiá, Eva Onaindía. Workshop on Knowledge Engineering for Planning and Scheduling de ICAPS. 2020
  • Behaviour recognition of planning agents using Behaviour Trees. Stanislav Sitanskiy, Laura Sebastiá, Eva Onaindía. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. 2020.
  • Extensions of the Tourist Travel Design Problem for Different Travel Styles. Laura Sebastiá, Eliseo Marzal. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. 2020.

Year 2019

  • Personalized conciliation of clinical guidelines for comorbid patients through multi-agent planning. Juan Fdez-Olivares, Eva Onaindia, Luis Castillo, Jaume Jordán, Juan Cózar. Artificial Intelligence in Medicine. 2019
  • Learning action models with minimal observability. Diego Aineto, Sergio Jiménez and Eva Onaindia. Artificial Intelligence Journal (AIJ). 2019.
  • Computing programs for generalized planning using a classical planner. Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. Artificial Intelligence Journal (AIJ). 2019.
  • A review of generalized planning. Sergio Jiménez, Javier Segovia-Aguas and Anders Jonsson. The Knowledge Engineering Review (KER). 2019.
  • Can Tourist Attractions Boost Other Activities Around? A Data Analysis through Social Networks. Alexander Bustamante, Laura Sebastiá, Eva Onaindía. Sensors. 2019.
  • Model Recognition as Planning. Diego Aineto, Sergio Jiménez, Eva Onaindia and Miquel Ramírez. International Conference on Automated Planning and Scheduling. 2019.
  • One-shot learning: From domain knowledge to action models. Diego Aineto, Sergio Jiménez and Eva Onaindia. ICAPS’19 Workshop Knowledge Engineering for Planning and Scheduling. 2019.
  • Exploratory analysis of representativeness of tourism data in OpenStreetMap. Alexander Bustamante, Laura Sebastiá, Eva Onaindía. IBIMA conference. 2019.
  • Efficiently Reasoning with Interval Constraints in Forward Search Planning. Amanda Coles, Andrew Coles, Moises Martinez, Emre Savas, Tomas de la Rosa, Yolanda E-Martin, Angel Garcia-Olaya, Juan Manuel Delfa. Proceedings of AAAI’19.
  • Efficient Approaches for Multi-Agent Planning. Daniel Borrajo and Susana Fernández. Knowledge and Information Systems, 2019.
  • Plan Merging by Reuse for Multi-Agent Planning. Nerea Luis, Susana Fernández and Daniel Borrajo. Applied Intelligence (APIN), 2019.
  • Using Pre-Computed Knowledge for Goal Allocation in Multi-Agent Planning. Nerea Luis, Tiago Pereira, Susana Fernández, Daniel Borrajo and Manuela Veloso. Journal of Intelligent & Robotic Systems, 2019.
  • Guarantees for Sound Abstractions for Generalized Planning. Blai Bonet, Raquel Fuentetaja, Yolanda E-Martín, Daniel Borrajo. Proceedings of IJCAI, 2019. Asistió Yolanda Escudero.
  • Error Analysis and Correction for Weighted A* Suboptimality. Robert C. Holte, Rubén Majadas, Alberto Pozanco, Daniel Borrajo. Proceedings of SOCS, 2019. Asistió Alberto Pozanco.
  • Finding Centroids and Minimum Covering States in Planning. Alberto Pozanco, Yolanda E-Martín, Susana Fernández, Daniel Borrajo. Proceedings of ICAPS, 2019. Asistió Alberto Pozanco.

Year 2018

  • On the use of ontologies to extend knowledge in online planning. Mohannad Babli, Eliseo Marzal, Eva Onaindia. Workshop on Knowledge Engineering for Planning and Scheduling (KEPS), ICAPS 2018, pp. 54-61. 2018.
  • Extending Planning Knowledge using Ontologies for Goal Opportunities. Mohannad Babli, Eva Onaindia, Eliseo Marzal. 31st International Business Information Management (IBIMA), pp. 3199-3208. 2018.
  • A better-response strategy for self-interested planning agents. Jaume Jordán, Alejandro Torreño, Mathijs de Weerdt, Eva Onaindia. Applied Intelligence, Springer. 2018.
  • FMAP: A Platform for the Development of Distributed Multi-Agent Planning Systems. Alejandro Torreño, Oscar Sapena, Eva Onaindia. Knowledge-Based Systems, Elsevier. 2018.
  • Computing Hierarchical Finite State Controllers with Classical Planning. Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. Journal of Artificial Intelligence Research (JAIR). 2018.
  • A common framework for learning causality. Eva Onaindia, Diego Aineto and Sergio Jiménez. Progress in Artificial Intelligence. 2018.
  • Learning STRIPS action models with classical planning. Diego Aineto, Sergio Jiménez and Eva Onaindia. International Conference on Automated Planning and Scheduling. 2018.
  • Forward-Search Temporal Planning with Simultaneous Events. Daniel Furelos-Blanco, Anders Jonsson, Héctor Palacios and Sergio Jiménez. ICAPS’18 Workshop Constraint Satisfaction Techniques for Planning and Scheduling. 2018.
  • LinkedDBTour: a Tool to Retrieve Linked Open Data about Tourism Attractions. Jesús Ibáñez, Alexander Bustamante, Laura Sebastiá, Eva Onaindía. IBIMA conference. 2018.
  • Learning-driven Goal Generation. Alberto Pozanco and Susana Fernández and Daniel Borrajo. AI Communications, 2018.
  • Symbolic perimeter abstraction heuristics for cost-optimal planning. Álvaro Torralba, Carlos Linares López, Daniel Borrajo. Artificial Intelligence, 2018.
  • Special issue on goal reasoning. Mark Roberts, Daniel Borrajo, Michael Cox, Neil Yorke-Smith. AI Communication, 2018.
  • Anticipation of goals in automated planning. Raquel Fuentetaja, Daniel Borrajo, Tomás de la Rosa. AI Communication, 2018.
  • Heterogeneous Multi-agent Planning Using Actuation Maps. Tiago Pereira, Nerea Luis, Susana Fernández, Daniel Borrajo, Antonio Paulo Moreira, Manuela Veloso. Proceedings of IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2018.
  • Distributed Planning and Model Learning for Urban Traffic Control. Alberto Pozanco, Susana Fernández, Daniel Borrajo. Proceedings of the Workshop on Knowledge Engineering for Planning and Scheduling (KEPS) at ICAPS, 2018.
  • Meta-Search Through the Space of Representations and Heuristics on a Problem by Problem Basis. Raquel Fuentetaja, Michael W. Barley, Daniel Borrajo, Jordan Douglas, Santiago Franco, Patricia J. Riddle. Proceedings of AAAI, 2018.
  • GBFHS: A Generalized Breadth-First Heuristic Search Algorithm. Michael W. Barley, Patricia J. Riddle, Carlos Linares López, Sean Dobson, Ira Pohl. Proceedings of SOCS, 2018.
  • Counterplanning using Goal Recognition and Landmarks. Alberto Pozanco, Yolanda E-Matín, Susana Fernández and Daniel Borrajo. Proceedings of IJCAI-ECAI, 2018. Asistió Alberto Pozanco.
  • Distributed Planning and Model Learning for Urban Traffic Control. Alberto Pozanco, Susana Fernández, Daniel Borrajo. Proceedings of the Workshop on Knowledge Engineering for Planning and Scheduling (KEPS) at ICAPS, 2018. Asistió Alberto Pozanco.
  • Counterplanning using Goal Recognition and Landmarks. Alberto Pozanco, Yolanda Escudero Martín, Susana Fernández and Daniel Borrajo. Proceedings of the Workshop on Distributed and Multi-Agent Planning (DMAP) at ICAPS, 2018. Asistió Alberto Pozanco.
  • Counterplanning in Real-Time Strategy Games through Goal Recognition. Alberto Pozanco, Alejandro Blanco, Yolanda E-Martín, Susana Fernández, Daniel Borrajo. Proceedings of the Workshop on Goal Reasoning at IJCAI, 2018. Asistió Alberto Pozanco.
  • Insights from the 2018 IPC Benchmarks. Isabel Cenamor and Alberto Pozanco. Proceedings of the Workshop on the International Planning Competition (WIPC) at ICAPS, 2019. Asistió Alberto Pozanco.

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