Leading teachers' perspective on teacher-AI collaboration in education

J Kim - Education and Information Technologies, 2023 - Springer
Moving beyond the direct support all alone by a human teacher or an Artificial Intelligence
(AI) system, optimizing the complementary strengths of the two has aroused great …

Automated peer-to-peer negotiation for energy contract settlements in residential cooperatives

S Chakraborty, T Baarslag, M Kaisers - Applied Energy, 2020 - Elsevier
This paper presents an automated peer-to-peer negotiation strategy for settling energy
contracts among prosumers in a Residential Energy Cooperative considering heterogeneity …

Privacy and Trust in the Internet of Vehicles

E Zavvos, EH Gerding, V Yazdanpanah… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles aims to fundamentally improve transportation by connecting
vehicles, drivers, passengers, and service providers together. Several new services such as …

Challenges and main results of the automated negotiating agents competition (ANAC) 2019

R Aydoğan, T Baarslag, K Fujita, J Mell… - Multi-Agent Systems and …, 2020 - Springer
Abstract The Automated Negotiating Agents Competition (ANAC) is a yearly-organized
international contest in which participants from all over the world develop intelligent …

An opponent-adaptive strategy to increase utility and fairness in agents' negotiation

S Mirzayi, F Taghiyareh, F Nassiri-Mofakham - Applied Intelligence, 2022 - Springer
In automatic negotiation, intelligent agents try to reach the best deal possible on behalf of
their owners. In previous studies, opponent modeling of a negotiator agent has been used to …

Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge

D Calvaresi, G Ciatto, A Najjar, R Aydoğan… - … Autonomous Agents and …, 2021 - Springer
Explainable AI (XAI) has emerged in recent years as a set of techniques and methodologies
to interpret and explain machine learning (ML) predictors. To date, many initiatives have …

Artificial intelligence techniques for conflict resolution

R Aydoğan, T Baarslag, E Gerding - Group Decision and Negotiation, 2021 - Springer
Conflict resolution is essential to obtain cooperation in many scenarios such as politics and
business, as well as our day to day life. The importance of conflict resolution has driven …

Energy contract settlements through automated negotiation in residential cooperatives

S Chakraborty, T Baarslag… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
This paper presents an automated peer-to-peer (P2P) negotiation strategy for settling
energy contracts among prosumers in a Residential Energy Cooperative (REC) considering …

Automated negotiations under user preference uncertainty: A linear programming approach

D Tsimpoukis, T Baarslag, M Kaisers… - … Conference, AT 2018 …, 2019 - Springer
Autonomous agents negotiating on our behalf find applications in everyday life in many
domains such as high frequency trading, cloud computing and the smart grid among others …

From intelligent agents to trustworthy human-centred multiagent systems

M Divband Soorati, EH Gerding… - AI …, 2022 - content.iospress.com
Abstract The Agents, Interaction and Complexity research group at the University of
Southampton has a long track record of research in multiagent systems (MAS). We have …