192 citations · 199 across the 10 of their papers we have counts for
12 papers
[COMP25] The Automated Negotiating Agents Competition (ANAC) 2025 Challenges and Results
Reyhan Aydoğan, Tim Baarslag, Tamara C. P. Florijn +3
This paper presents the primary research challenges and key findings from the 15th International Automated Negotiating Agents Competition (ANAC 2025), one of the official competiti…
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
Chandler Smith, Marwa Abdulhai, Manfred Diaz +83
Large Language Model (LLM) agents have demonstrated impressive capabilities for social interaction and are increasingly being deployed in situations where they might engage with bo…
A Negotiator's Backup Plan: Optimal Concessions with a Reservation Value
Tamara C. P. Florijn, Pinar Yolum, Tim Baarslag
Automated negotiation is a well-known mechanism for autonomous agents to reach agreements. To realize beneficial agreements quickly, it is key to employ a good bidding strategy. Wh…
Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives
Shantanu Chakraborty, Tim Baarslag, Michael Kaisers
This paper presents an automated peer-to-peer negotiation strategy for settling energy contracts among prosumers in a Residential Energy Cooperative considering heterogeneity prosu…
Designing Sensing as a Service (S2aaS) Ecosystem for Internet of Things
Charith Perera, Mahmoud Barhamgi, Suparna De +3
The Internet of Things (IoT) envisions the creation of an environment where everyday objects (e.g. microwaves, fridges, cars, coffee machines, etc.) are connected to the internet a…
Energy Contract Settlements through Automated Negotiation in Residential Cooperatives
Shantanu Chakraborty, Tim Baarslag, Michael Kaisers
This paper presents an automated peer-to-peer (P2P) negotiation strategy for settling energy contracts among prosumers in a Residential Energy Cooperative (REC) considering heterog…
An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems
Hongyao Tang, Li Wang, Zan Wang +2
Multiagent coordination in cooperative multiagent systems (MASs) has been widely studied in both fixed-agent repeated interaction setting and the static social learning framework.…
Modelling and Analysis of Temporal Preference Drifts Using A Component-Based Factorised Latent Approach
F. Zafari, I. Moser, T. Baarslag
The changes in user preferences can originate from substantial reasons, like personality shift, or transient and circumstantial ones, like seasonal changes in item popularities. Di…
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag +1
The key challenge in multiagent learning is learning a best response to the behaviour of other agents, which may be non-stationary: if the other agents adapt their strategy as well…
Valorising the IoT Databox: Creating Value for Everyone
Charith Perera, Susan Wakenshaw, Tim Baarslag +7
The Internet of Things (IoT) is expected to generate large amounts of heterogeneous data from diverse sources including physical sensors, user devices, and social media platforms.…
Can we reach Pareto optimal outcomes using bottom-up approaches?
Victor Sanchez-Anguix, Reyhan Aydogan, Tim Baarslag +1
Traditionally, researchers in decision making have focused on attempting to reach Pareto Optimality using horizontal approaches, where optimality is calculated taking into account…
Optimistic Risk Perception in the Temporal Difference error Explains the Relation between Risk-taking, Gambling, Sensation-seeking and Low Fear
Joost Broekens, Tim Baarslag
Understanding the affective, cognitive and behavioural processes involved in risk taking is essential for treatment and for setting environmental conditions to limit damage. Using…