logoglass

GLASS Project

Universidad Politécnica de Valencia | Universidad Carlos III de Madrid

Goal-management for Long-term Autonomy in Smart citieS

The main objective of the project is to analyze the problem of goal management for long-term autonomous systems, design appropriate algorithms for addressing the different components of goal management, and develop software tools that help on the application of this technology to Smart Cities tasks. The long-term goal of fully autonomous systems is a highly ambitious objective for many fields, including Artificial Intelligence or Robotics. Thus, we focus on one of the aspects that has been less explored in the literature, but with a big impact on the overall objective of long-term autonomy: automatic goal management.

We will work on technical challenges as: representation formalisms of goals, techniques for dynamic generation of goals, goal management strategies, problem solving in the context of goal management, and development of three proof-of-concept prototypes. These prototypes will be based on our previous work and are related to three Smart Cities topics:


1. Traffic control via automated planning.

We will base our work on our previous work in the context of the ARTS-COST project. This work resulted in a system that was the co-winner of the ARTS-COST competition on: Increasing the Resilience of Road Traffic Support Systems by the Use of Autonomics. Example videos:

Without Automated Planning

Using Automated Planning


2. Tourism

Use of automated planning for generating touristic plans. This work will be based on previous projects as SAMAP (paper) or OnDroad


3. Multi-modal transport planning

It will be based on our previous work on multi-modal transportation planning as in the project TIMI (paper)


Papers

  2016 (11)
On the use of case-based planning for e-learning personalization. Garrido, A.; Morales, L.; and Serina, I. Expert Systems with Applications, 60: 1--15. 2016.
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Temporal goal reasoning for predictive performance of a tourist application. Eliseo Marzal, J. I.; and Laura Sebasti�, E. O. In Second Workshop on Artificial Intelligence and Internet of Things (AI-IoT), ECAI, 2016.
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Temporal Landmark Graphs for Solving Overconstrained Planning Problems. Marzal, E.; Sebastia, L.; and Onaindia, E. Knowledge-Based Systems, . 2016.
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Planning tourist agendas for different travel styles. Jes�s Ib��ez, L. S. In European Conference on Artificial Intelligence (ECAI), pages 1818-1823, 2016. IOS Press
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An Intelligent System for Smart Tourism Simulation in a Dynamic Environment. Mohannad Babli, J. I.; and Laura Sebasti�, A. G. In Second Workshop on Artificial Intelligence and Internet of Things (AI-IoT), ECAI , 2016.
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The IBaCoP Planning System: Instance-Based Configured Portfolios. Cenamor, I.; de la Rosa , T.; and Fernández, F. Journal of Artificial Intelligence Research (JAIR), 56: 657--691. 2016.
The IBaCoP Planning System: Instance-Based Configured Portfolios [link]Paper   bibtex
Bagging strategies for learning planning policies. De la Rosa, T.; and Fuentetaja, R. Annals of Mathematics and Artificial Intelligence, Online First: 1-15. 2016.
Bagging strategies for learning planning policies [link]Paper   bibtex
Urban Traffic Control Assisted by AI Planning and Relational Learning. Pozanco, A.; Fernández, S.; and Borrajo, D. In Proceedings of 9th International Workshop on Agents in Traffic and Transportation (at IJCAI'16), volume 1678, 2016.
Urban Traffic Control Assisted by AI Planning and Relational Learning [pdf]Paper   bibtex
On Learning Planning Goals for Traffic Control. Pozanco, A.; Fernández, S.; and Borrajo, D. In Proceedings of 4th Workshop on Goal Reasoning (IJCAI'16), 2016.
On Learning Planning Goals for Traffic Control [pdf]Paper   bibtex
Anticipatory Search as Partial Satisfaction Planning with State Dependent Costs. Borrajo, D.; Fuentetaja, R.; and de la Rosa, T. In Proceedings of 4th Workshop on Goal Reasoning (IJCAI'16), 2016.
Anticipatory Search as Partial Satisfaction Planning with State Dependent Costs [pdf]Paper   bibtex
Abstraction Heuristics for Symbolic Bidirectional Search. Torralba, Á.; Linares-López, C.; and Borrajo, D. In Proceedings of IJCAI'16, New York (USA), 2016.
Abstraction Heuristics for Symbolic Bidirectional Search [pdf]Paper   bibtex
  2015 (9)
A highly interactive tourism recommender system for multi-day trips. Laura Sebasti�, D. Y.; and Inma Garc�a, A. G. In Workshop on Tourism Recommender Systems (TouRS15), pages 1-10, 2015.
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Global Heuristics for Distributed Cooperative Multi-Agent Planning. Torreno, A.; Sapena, O.; and Onaindia, E. In ICAPS, pages 225--233, 2015.
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Reactive execution for solving plan failures in planning control applications. Guzman, C.; Castejon, P.; Onaindia, E.; and Frank, J. Integrated Computer-Aided Engineering, 22(4): 343--360. 2015.
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Temporal Landmarks for Overconstrained Planning Problems with Deadlines. Marzal, E.; Sebastia, L.; and Onaindia, E. In Tools with Artificial Intelligence (ICTAI), 2015 IEEE 27th International Conference on, pages 437--444, 2015. IEEE
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Game-theoretic Approach for Non-Cooperative Planning. Jordán, J.; and Onaindia, E. In Twenty-Ninth AAAI Conference on Artificial Intelligence, pages 1357--1363, 2015.
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FLAP: Applying least-commitment in forward-chaining planning. Sapena, O.; Onaindia, E.; and Torreno, A. AI Communications, 28(1): 5--20. 2015.
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Multi-agent planning by distributed constraint satisfaction. Pablo Castej�n, P. M. In 16th Conference of the Spanish Association for Artificial Intelligence (CAEPIA, 2015), pages 41-50, 2015. http://simd.albacete.org/actascaepia15/#
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Using Automated Planning for Traffic Signals Control. Gulic̀, M.; Olivares, R.; and Borrajo, D. In Working Notes of ARTS-COST 2nd competition, 2015.
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  In Press (1)
Using Automated Planning for Traffic Signals Control. Gulic̀, M.; Olivares, R.; and Borrajo, D. PROMET - Traffic&Transportation, . In Press.
Using Automated Planning for Traffic Signals Control [link]Paper   bibtex

Participants

GPRS AI Group

PLG Group

Universidad Politécnica de Valencia

Funded by the Ministerio de Economía y Competitividad (Spanish Ministry of Economy).