stack of textbooks on wooden table

Papers

Editorship

  1. Javier BajoJuan M. CorchadoElena Maria Navarro MartínezEneko Osaba IcedoPhilippe MathieuPatrycja Hoffa-DabrowskaElena del ValSylvain GirouxAntónio J. M. CastroNayat Sánchez PiVicente JuliánRicardo Azambuja SilveiraAlberto FernándezRainer UnlandRubén Fuentes-Fernández:
    Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection – International Workshops of PAAMS 2018, Toledo, Spain, June 20-22, 2018, Proceedings. Communications in Computer and Information Science 887, Springer 2018, ISBN 978-3-319-94778-5

Book Chapters

  1. Luis Reis, Ana Paula Rocha and Antonio J.M. Castro (2018). “An Electronic Marketplace for Airlines“, In 16th PAAMS 2018 AAAT Workshop, June 20-22, 2018, Toledo, Spain, pp. 60-71, doi: 10.1007/978-3-319-94779-2_6.
  2. Tanja Sarcevic, Ana Paula Rocha and Antonio J.M. Castro (2018). “Artificial Bee Colony Algorithm for Solving the Flight Disruption Problem“, In 16th PAAMS 2018 AAAT Workshop, June 20-22, 2018, Toledo, Spain, pp. 72-81, doi: 10.1007/978-3-319-94779-2_7.
  3. Antonio J.M. Castro and Ana Paula Rocha (2017). “Managing Disruptions with a Multi-Agent System for Airline Operations Control“. In: Demazeau Y., Davidsson P., Bajo J., Vale Z. (eds) Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection. PAAMS 2017. Lecture Notes in Computer Science, vol 10349. Springer, Cham, doi: 10.1007/978-3-319-59930-4_26.
  4. Jorge Lima, Ana Paula Rocha and Antonio J.M. Castro (2017). “Argumentation in the Re-accommodation of Airline Passengers Using Mobile Devices“. In: Bajo J. et al. (eds) Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham, doi: 10.1007/978-3-319-60285-1_2 .
  5. Henrique Lopes Cardoso, Joana Urbano, Ana Paula Rocha, António J. M. Castro and Eugénio Oliveira (2016). Chapter 3 – ANTE: A Framework Integrating Negotiation, Norms and Trust, in H. Aldewereld et al. (ed.), Social Coordination Frameworks for Social Technical Systems, Law, Governance and Technology Series, Vol. 30, Springer, ISBN 978-3-319-33568-1, pp. 27-45, doi: 10.1007/978-3-319-33570-4_3.
  6. Nuno Machado, António J. M. Castro and Eugénio Oliveira (2013). Chapter 6 – Studying the Impact of the Organizational Structure on Airline Operations Control, in Rosaldo Rossetti and Ronghui Liu (ed.), Advances in Artificial Transportation Systems and Simulation, Academic Press Inc., ISBN 978-0123970411, doi: 10.1016/B978-0-12-397041-1.00006-6, pp. 103-124
  7. Henrique Lopes Cardoso, Joana Urbano, Ana Paula Rocha, António J. M. Castro and Eugénio Oliveira (2013). Chapter 32 – ANTE: Agreement Negotiation in Normative and Trust-enabled Environments, in S. Ossowski (ed.), Agreement Technologies, Law, Governance and Technology Series, Vol. 8, Springer, ISBN 978-94-007-5582-6, doi: 10.1007/978-94-007-5583-3_32, pp. 549-564
  8. Antonio J.M. Castro and Eugenio Oliveira (2011). Airline Operations Control: A New Concept for Operations Recovery, Airline Industry: Strategies, Operations and Safety, Connor R. Walsh (Ed.), pp. 61-97, ISBN: 978-1-61122-079-7, Series: Transportation Infrastructure – Roads, Highways, Bridges, Airports and Mass Transit, Nova Science Publishers. [BibTeX]
  9. Antonio J.M. Castro and Eugenio Oliveira (2010). Disruption Management in Airline Operations Control – An Intelligent Agent-Based Approach, Web Intelligence and Intelligent Agents, Zeeshan-ul-hassan Usmani PhD (Ed.), ISBN: 978-953-7619-85-5, doi: 10.5772/8373, INTECH. [BibTeX]
  10. Antonio J. M. Castro and Eugenio Oliveira. Solving Airline Operations Problems using Specialized Agents in a Distributed Multi-Agent System. Lecture Notes in Business Information Processing LNBIP 12 (ICEIS 2007), pp. 173-184, Springer-Verlag 2008, ISBN: 978-3-540-88709-6. [BibTeX]

Papers Published in Journals

  1. Antonio J.M. Castro, Ana Paula Rocha and Eugenio Oliveira. “A New Approach for Disruption Management in Airlie Operations Control“. AI Matters, Vol. 1, No. 1, pp. 15-16, August 2014.
  2. Antonio J. M. Castro and Eugenio Oliveira A New Concept for Disruption Management in Airline Operations Control. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol. 225, N. 3 (March 2011), pp. 269-290. doi: 10.1243/09544100JAERO864. [BibTeX]
  3. Antonio J.M. Castro and Eugenio Oliveira Quantifying Quality Operational Costs in a Multi-Agent System for an Airline Operations Recovery. International Review on Computers and Software (I.RE.CO.S), Vol. 4, No. 4, pp. 504-516, ISSN 1828-6003, July 2009. [BibTeX]
  4. Antonio Castro and Eugenio Oliveira. The Rationale behind the Development of an Airline Operations Control Centre using GAIA based Methodology. Int. J. Agent-Oriented Software Engineering, Vol. 2, No. 3, pp.350-377, doi: https://doi.org/10.1504/ijaose.2008.019423. [BibTeX]

Papers Published in Conferences

  1. Miguel Teixeira, Ana Paula Rocha, and António J. M. Castro. (2021). “Quantum Reinforcement Learning Applied to Board Games“. In IEEE/WIC/ACM International Conference on Web Intelligence (WI-IAT ’21), December 14-17, 2021, ESSENDON, VIC, Australia. ACM, New York, NY, USA, 8 pages. DOI:10.1145/3486622.3493944
  2. Luis N. Martins, Ana Paula Rocha and Antonio J.M. Castro (2021). “A  QUBO Model to the Tail Assignment Problem, in Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART2021) – Volume 2, pages. 899-906 ISBN: 978-989-758-484-8 ISSN: 2184-433X, doi: 10.5220/0010259608990906 
  3. Luis Reis, Ana Paula Rocha and Antonio J.M. Castro (2018). “An Agent-based Electronic Market to Help Airlines to Recover from Delays, In Proceedings of the 10th International Conference on Agents and Artificial Intelligence – Volume 1: ICAART, ISBN 978-989-758-275-2, pages 176-183. DOI: 10.5220/0006582401760183
  4. António J. M. Castro, Ana Paula Rocha and Eugénio Oliveira (2016). “Towards an Organization of Computers for Managing Airline Operations, In Proceedings of CATA2016, April 4-6, 2016, Las Vegas, Nevada, USA, ISBN: 978-1-943436-02/6, pp. 239-244
  5. António J.M. Castro, Ana Paula Rocha, Eugénio Oliveira. Learning in Heterogeneous Environments: a Case Study. Proceedings of the 2014 Workshop on Intelligent Agents and Technologies for Socially Interconnected Systems (IAT4SIS), at ECAI 2014, pp. 1-6, Prague, August 2014, Czech Republic. ISBN: 978-1-4503-2890-6, doi: 10.1145/2655985.2655986
  6. Francisca Teixeira, Antonio J. M. Castro, Ana Paula Rocha and Eugenio Oliveira Multi-Agent Learning in both Cooperative and Competitive Environments“. Advances in Artificial Intelligence. EPIA 2013 16th Portuguese Conference on Artificial Intelligence, pp.400-411, Azores, 9-12 September 2013, Portugal. ISBN: 978-989-95489-1-6.
  7. Antonio J. M. Castro, Ana Paula Rocha and Eugenio Oliveira “Towards an Autonomous and Intelligent Airline Operations Control“. Proceedings of the 2012 15th IEEE Conference on Intelligent Transportation Systems (ITSC 2012), pp. 1429-1434, Anchorage, Alaska, USA, September 16-19, ISBN 978-1-4673-3063-3, doi: 10.1109/ITSC.2012.6338858.
  8. Bruno Aguiar, José Torres and Antonio J. M. Castro Operational Problems Recovery in Airlines – A Specialized Methodologies Approach. Progress in Artificial Intelligence (LNAI7026), 15th Portuguese Conference on Artificial Intelligence, EPIA 2011, Lisbon, Portugal, October 10-13, 2011, pp. 83-97, ISBN 978-3-642-24768-2.
  9. Antonio J. M. Castro, António Pereira, Leonardo Fraga, Ana Paula Rocha and Eugenio Oliveira A Negotiation Based Approach to Airline Operations Recovery. AITS@EPIA2011, Artificial Intelligence in Transportation Systems Track at EPIA 2011, pp. 122-136, Lisbon, Portugal, October 10-13, 2011, ISBN 978-989-95618-4-7.6)
  10. Nuno Machado, Antonio J. M. Castro and Eugenio Oliveira Impact of Organizational Structure on Airline Operations. Proceedings of the ITSC 2010 Workshop on Artificial Transportation Systems and Simulation (ATSS2010), Madeira Island, Portugal, September 19, 2010.
  11. Antonio J.M. Castro and Eugenio Oliveira Disruption Management in Airline Operations Control – An Intelligent Agent-Based Approach“. Presented at the 2nd CEAS European Air & Space Conference (CEAS2009), Manchester, UK, October 26-29, 2009.
  12. Antonio J.M. Castro, Antonio Mota, Luis Paulo Reis and Eugenio Oliveira Minimizing Airport Peaks Problem by Improving Airline Operations Performance through an Agent Based System. New Trends in Artificial Intelligence, Proceedings of the 14th Portuguese Conference on Artificial Intelligence (EPIA2009), pp. 3-14, ISBN: 978-972-96895-4-3, Universidade de Aveiro, Portugal, October 12-15, 2009. [BibTeX]
  13. Antonio Mota, Antonio J. M. Castro and Luis Paulo Reis Recovering from Airline Operational Problems with a Multi-Agent System: a Case Study. Lecture Notes in Artificial Intelligence (LNAI 5816), Springer, Progress in Artificial Intelligence, 14th Portuguese Conference on Artificial Intelligence (EPIA2009), pp. 461-472, ISBN: 978-3-642-04685-8, Universidade de Aveiro, Portugal, October 12-15, 2009. [BibTeX]
  14. Luis Barbosa, Antonio J. M. Castro and Luis Paulo Reis An Intelligent Interface Agent for an Airline Company Web Portal. Proceedings of the 14th Portuguese Conference on Artificial Intelligence (EPIA2009), pp. 181-192, ISBN: 978-972-96895-4-3, Universidade de Aveiro, Portugal, October 12-15, 2009. [BibTeX]
  15. Antonio J.M. Castro Our Virtual Existence: Eternity is Here!. 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI09), Future Innovations Track, Bonn, Germany, September 15-18, 2009.
  16. Antonio J.M. Castro and Eugenio Oliveira. Using Quality Costs in a Multi-Agent System for Airline Operations Control. 11th International Conference on Enterprise Information Systems (ICEIS 2009), Artificial Intelligence and Decision Support Systems, pp. 19-24, Milan, Italy, May 6-10, 2009. ISBN: 978-989-8111-85-2. [BibTeX]
  17. Antonio J.M. Castro and Eugenio Oliveira. A Multi-Agent System for Airline Operations Control. 7th International Conference on PAAMS’09, Advances in Intelligent and Soft Computing 55, pp. 159-168, Springer-Verlag Berlin Heidelberg 2009. ISBN: 978-3-642-00486-5. [BibTeX]
  18. Antonio J. M. Castro and Eugenio Oliveira. Using Specialized Agents in a Distributed MAS to Solve Airline Operations Problems: a Case Study. Proceedings of IAT 2007 (Intelligent Agent Technology Conference), pp. 473-476, Silicon Valley, California, USA, 2-5 November 2007, IEEE Computer Society, ISBN: 0-7695-3027-3, doi: 10.1109/IAT.2007.24. [BibTeX]
  19. Antonio Castro and Eugenio Oliveira. A Distributed Multi-Agent System to Solve Airline Operations Problems. Proceedings of the 9th ICEIS 2007 Volume Artificial Intelligence and Decision Support Systems, pp. 22-30, Funchal, Portugal, June 12-16 2007, INSTICC, ISBN: 978-972-8865-89-4. [BibTeX]
  20. Antonio Castro and Eugenio Oliveira. A Distributed Multi-Agent System to Solve Airline Operations Problems“. Honorable Mention Paper at COMIC07, PRODEI, FEUP, UP, pp: 47-58
  21. Andreia Malucelli, Antonio Castro and Eugenio Oliveira. Crew and Aircraft Recovery through a Multi-Agent Airline Electronic Market, Proceedings of IADIS International Conference on e-Commerce 2006, Eds. Sandeep Krishnamurthy, Pedro Isaias, pp. 51-58, Barcelona, Spain, December 9-11 2006, IADIS Press, ISBN: 972-8924-23-2. [BibTeX]
  22. Antonio Castro and Eugenio Oliveira. A Multi-Agent System for Intelligent Monitoring of Airline Operations, In Proceedings of the Third European Workshop on Multiagent Systems, Eds. M. P. Gleizes, G. Kaminka, A. Nowé, S. Ossowski, K. Tuyls, K. Verbeeck, pp. 91-102, Brussels, Belgium, December 7-8 2005. [BibTeX]