Publications

2021

1- Calvaresi, D., Cid, Y. D., Marinoni, M., Dragoni, A. F., Najjar, A., & Schumacher, M. (2021). Real-time multi-agent systems: rationality, formal model, and empirical results. Autonomous Agents and Multi-Agent Systems, 35(1), 1-37.

2- Alaa Daoud, Hiba Alqasir, Yazan Mualla, Amro Najjar, Gauthier Picard and Flavien Balbo. Towards Explainable Recommendations of Resource Allocation Mechanisms in On-Demand Transport Fleets.  In International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems (EXTRAAMAS).

3- Egberdien van der Peijl, Amro Najjar, Yazan Mualla, Thiago Jorge Bourscheid, Sana Nouzri,  and Yolanda Spinola Elias. XAI & Human Synergies to Explain the History of Art.  In International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems (EXTRAAMAS).

4- Giovanni Ciatto, Amro Najjar, Jean-Paul Calbimonte and Davide Calvaresi. Towards Explainable Visionary Agents: License to Dare and Imagine.  In International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems (EXTRAAMAS).

2020

    1. Igor H Tchappi, Stéphane Galland, Vivient Corneille Kamla, Jean Claude Kamgang,Yazan Mualla, Amro Najjar, and Vincent Hilaire. “A critical review of the use of holonic paradigm in traffic and transportation systems”. In: Engineering Applications of Artificial Intelligence 90 (2020).
    2. Stephane Galland, Hui Zhao, Yazan Mualla, Amro Najjar, and Sebastian Rodriguez.“Model Transformations from the SARL Agent-OrientedProgramming Language toan Object-OrientedProgramming Language.” In: International Journal of Agent-Oriented Software Engineering(2020).
    3. Timotheus Kampik and Amro Najjar. “Simulating, Off-Chain and On-Chain: Agent-Based Simulations in Cross-Organizational Business Processes”. In: Information 11(1),34.
    4. Daniel Karpati, Amro Najjar, and Diego Agustin Ambrossio. “Ethics of Food Recom-mender Applications”. In: Proceedings of the AAAI/ACM Conference on AI, Ethics,and Society. 2020, pp. 313–319.
    5. Yazan Mualla, Igor Tchappi, Amro Najjar, Timotheus Kampik, Stephane Galland, and Christophe Nicolle. “Human-Agent Explainability: An Experimental Case Study on the Filtering of Explanations”. In: 12th International Conference on Agents and Artificial Intelligence, Valletta, Malta, February 22-24, 2020. 2020.
    6. Davide Calvaresi, Jean-Gabriel Piguet, Jean-Paul Calbimonte, Timotheus Kampik, Amro Najjar, Guillaume Gadek, Michael Schumacher: Ethical Concerns and Opportunities in Binding Intelligent Systems and Blockchain Technology. PAAMS (Workshops) 2020: 5-16.
    7. Francesco Alzetta, Paolo Giorgini, Amro Najjar, Michael Ignaz Schumacher, Davide Calvaresi: In-Time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap. EXTRAAMAS@AAMAS 2020: 39-53
    8. Yazan Mualla, Timotheus Kampik, Igor Haman Tchappi, Amro Najjar, Stéphane Galland, Christophe Nicolle: Explainable Agents as Static Web Pages: UAV Simulation Example. EXTRAAMAS@AAMAS 2020: 149-154

2019

  1. Davide Calvaresi, Amro Najjar, Michael Schumacher, and Kary Främling, eds. Explainable, Transparent Autonomous Agents and Multi-Agent Systems – First In-ternational Workshop, EXTRAAMAS 2019, Montreal, QC, Canada, May 13-14, 2019, Revised Selected Papers. Vol. 11763. Lecture Notes in Computer Science. Springer, 2019.isbn: 978-3-030-30390-7.
  2. Sule Anjomshoae, Kary Främling, and Amro Najjar. “Explanations of Black-BoxModel Predictions by Contextual Importance and Utility”. In: International Work-shop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems. Springer. 2019, pp. 95–109.
  3. Sule Anjomshoae, Kary Främling, and Amro Najjar. “Explanations of Black-BoxModel Predictions by Contextual Importance and Utility”. In: International Work-shop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems.Springer. 2019, pp. 95–109.
  4. Marcus Westberg, Amber Zelvelder, and Amro Najjar. “A Historical Perspective onCognitive Science and Its Influence on XAI Research”. In: International Workshop onExplainable, Transparent Autonomous Agents and Multi-Agent Systems. Springer.2019, pp. 205–219.
  5. Sule Anjomshoae, Amro Najjar, Davide Calvaresi, and Kary Framling. “Explainable Agents and Robots: Results From a Systematic Literature Review”. In: Proceedingsof the 2019 International Conference on Autonomous Agents & Multiagent Systems.(Full paper, Conference CORE Ranking: A*). 2019.
  6. Davide Calvaresi, Jean-Paul Calbimonte, Fabien Dubosson, Amro Najjar, and Michael Schumacher. “Social Network Chatbots for Smoking Cessation: Agent and Multi-Agent Frameworks”. In: International Web Intelligence Conference (2019). CORE Ranking: B
  7. Timotheus Kampik and Amro Najjar. “Integrating Multi-agent Simulations intoEnterprise Application Landscapes”. In: International Conference on Practical Applications of Agents and Multi-Agent Systems. Springer. 2019, pp. 100–111.
  8. Timotheus Kampik and Amro Najjar. “Technology-facilitated Societal Consensus”.In: The 27th ACM Conference on User Modelling, Adaptation and Personalization, Larnaca/Cyprus, June 9-12, 2019. 2019.
  9. Yazan Mualla, Amro Najjar, Olivier Boissier, Stéphane Galland, Igor Tchappi, and Robin Vanet. “A Cyber-Physical System for the Drilling Processing Oil& Gas fields”.In: The Third IEEE International Conference on Robotic Computing. 2019.
  10. Yazan Mualla, Amro Najjar, Stephane Galland, Christophe Nicolle, Igor TchappiHaman, Ansar Yasar, and Kary Framling. “Between the Megalopolis and the DeepBlue Sky: Challenges of Transport with UAVs in Future Smart Cities”. In: Proceedings of the 2019 International Conference on Autonomous Agents & Multiagent Systems.(Full paper (Bluesky Track), Conference CORE Ranking: A*). 2019.
  11. Yazan Mualla, Amro Najjar, Timotheus Kampik, Igor Tchappi, Stéphane Galland, and Christophe Nicolle. “Towards Explainability for a Civilian UAV Fleet Managementusing an Agent-based Approach”. In: Explainable AI in Automated Driving Workshop. 2019.
  12. Silvia Tulli, Agustin Ambrossio, Amro Najjar, and Francisco Javier Rodriguez Lera.“Great expectations & aborted business initiatives: the paradox of social robot between research and industry”. In: Artificial Intelligence – 31st Benelux Conference, BNAIC2019, Brussels, Belgium, Revised Selected Papers. 2019
  13. Yazan Mualla, Igor Haman Tchappi, Amro Najjar, Stéphane Galland, Robin Vanet,and Olivier Boissier. “Modélisation multi-agent des opérations semi-autonomes dans un système cyber-physique de forage pétrolier ou gazier”. In: Systèmes Multi-Agents et simulation – Vingt-septièmes journées francophones sur les systèmes multi-agents,JFSMA 1019, Toulouse, France, July 3-5, 2019.2019, pp. 139–148.
  14. Igor Haman Tchappi, Stéphane Galland, Yazan Mualla, Amro Najjar, Vivient CorneilleKamla, and Jean-Claude Kamgang. “Modèle multi niveau dynamique basé sur la densité: application au trafic routier à grande échelle”. In: Systèmes Multi-Agents et simulation – Vingt-septièmes journées francophones sur les systèmes multi-agents,JFSMA 1019, Toulouse, France, July 3-5, 2019.2019, pp. 149–158.

2018

  1. Assistive Social Robot: older  people’s perception and acceptance?  (Mathilde Lamotte, Martine Hoffmann , Aida  Nazarikhorram , Isabelle Tournier), British Society of Gerontology
  2. More Attention and Less Repetitive and Stereotyped Behaviors Using a Robot with Children with Autism, (Costa, Andreia; Charpiot, Louise; Rodríguez Lera, Francisco Javier; Ziafati, Pouyan; Nazarikhorram, Aida; van der Torre, Leendert; Steffgen, Georges), IEEE-ROMAN 2018, Session TuCT2: Social Human-Robot Interaction of Service Robots (To Be Defined: PDF)
  3. Generating Symbolic Representation from Sensor Data: Inferring knowledge in Robotics Competitions(Francisco J. Rodrı́guez Lera, Vicente Matellán Olivera; Francisco Martı́n Rico), 18th IEEE International Conference on Autonomous Robot Systems and Competitions, Torres Vedras,  Wed 25 – Fri 27 April (To Be Defined: PDF)
  4. Message Encryption in Robot Operating System: Collateral Effects of Hardening Mobile Robots(Francisco J. Rodrı́guez Lera, Vicente Matellán Olivera, Jesús Balsa-Comerón, Ángel Manuel Guerrero-Higueras and Camino Fernández-Llamas), Journal, Computer and Network security (PDF)
  5. HiMop: A three components architecture to create more human-acceptable assistive robots(Francisco J. Rodrı́guez Lera, Vicente Matellán Olivera; Miguel Á. Conde González; Francisco Martı́n Rico), Journal, Cognitive Processing (PDF)
  6. Benchmark Dataset for Evaluation of Range-Based People Tracker Classifiers in Mobile Robots, (Claudia Álvarez-Aparicio,Ángel Manuel Guerrero-Higueras, Maria Carmen Calvo Olivera, Francisco J. Rodrı́guez-Lera, Francisco Martı́n and Vicente Matellán), Journal, Frontiers in neurorobotics (PDF)

2017

  1. Deep Learning and Bayesian Networks for Labelling User Activity Context Through Acoustic Signals. (Francisco J. Rodríguez Lera, Francisco Martín Rico, and Vicente Matellán.) IWINAC 2017, A Coruña (Spain), 2017 (PDF)
  2. Context Awareness in shared human-robot Environments: Benefits of Environment Acoustic Recognition for User Activity Classification, (Francisco J. Rodríguez Lera, Francisco Martín Rico, and Vicente Matellán.), 8th International Conference of Pattern Recognition Systems, (PDF-TBD)
  3. Dynamics maps for long-term autonomy., (Jonathan Ginés Clavero, Francisco Martin Rico, Vicente Matellán, Francisco J.Rodríguez Lera and Jesús Balsa.), IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC’2017) April, 26-27, 2017, Coimbra, (Portugal) (PDF-TBD)
  4. Socially assistive robots for teaching emotional abilities to children with autism spectrum disorder. (Andreia Pinto Costa, Georges Steffgen, Francisco J Rodríguez Lera, Aida Nazarikhorram and Pouyan Ziafati), 3rd Workshop on  Child-Robot Interaction-Growing up hand in hand with robots: Designing and Evaluating Child-Robot Interaction from a Developmental Perspective – in conjunction with HRI 2017, 1(3)  (PDF)
  5. ProCRob Architecture for Personalized Social Robotics. (Pouyan Ziafati, Francisco J Rodríguez Lera, Andreia Pinto Costa, Aida Nazarikhorram and Leon Van Der Torre)  Workshop 3: Robots for Learning – R4L – in conjunction with HRI 2017 (PDF)

2016

  1. Lessons Learned in Robotics Competitions – Francisco J. Rodríguez Lera – European Robotics Week 2016. Video and slides:
    RoboticsWeek.pdf 19.33 MB

2014

  1. Plexil-Like Plan Execution Control in Agent Programming (P. Ziafati.), AI and Robotics workshop (AIROB) of AAAI, Quebec, 2014.
  2. Reasoning on Robot Knowledge from Discrete and Asynchronous Observations (P. Ziafati, et al.), Knowledge representation and reasoning in robotics, AAAI spring symposium, Standford, 2014

2013

  1. Event-Processing in Autonomous Robot Programming (P. Ziafati, et al.), Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems, May, 2013, Saint Paul, Minnesota, USA.
  2. Programming Autonomous Robots Using Agent Programming Languages (Extended Abstract) (P. Ziafati.),Doctoral Consortium, Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems, May, 2013, Saint Paul, Minnesota, USA.
  3. Agent Programming Languages Requirements for Programming Autonomous Robots (P. Ziafati, et al.), ProMAS 2012, LNAI 7837, pp. 35–53. Springer, Heidelberg, 2013

2012

  1. Selecting judgment aggregation rules for NAO robots: an experimental approach (V. Ganesan, M. Slavkovik, S. Sousa, L. van der Torre),In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, 2012.
  2. Judgment Aggregation for Cooperative Anchoring on the NAO Robots (V. Ganesan, M. Slavkovik, S. Sousa, L. van der Torre), In Works-in-progress track – 3rd International Conference on Social Robotics.

Activities

Activities

Activities

Activities