- Multi-Agent Systems and Negotiation
- Logic, Reasoning, and Knowledge
- Auction Theory and Applications
- Peer-to-Peer Network Technologies
- Traffic control and management
- Artificial Intelligence in Games
- Air Quality and Health Impacts
- Access Control and Trust
- Mobile Agent-Based Network Management
- Transportation Planning and Optimization
- Air Quality Monitoring and Forecasting
- Game Theory and Applications
- Game Theory and Voting Systems
- Semantic Web and Ontologies
- Autonomous Vehicle Technology and Safety
- Caching and Content Delivery
- Scheduling and Optimization Algorithms
- AI-based Problem Solving and Planning
- Atmospheric chemistry and aerosols
- Noise Effects and Management
- Robotic Path Planning Algorithms
- Vehicle Routing Optimization Methods
- Vehicle emissions and performance
- Business Process Modeling and Analysis
- Advanced Image and Video Retrieval Techniques
Public Health Service of Amsterdam
2017-2024
GGD Haaglanden
2024
Artificial Intelligence Research Institute
2012-2023
Consejo Superior de Investigaciones Científicas
2012-2022
GGD Amsterdam
2022
Western Sydney University
2016-2019
Universitat Autònoma de Barcelona
2012-2013
National Research Council
2011
Abstract. In many urban areas the population is exposed to elevated levels of air pollution. However, real-time quality usually only measured at few locations. These measurements provide a general picture state air, but they are unable monitor local differences. New low-cost sensor technology available for several years now, and has potential extend official monitoring networks significantly even though current generation sensors suffer from various technical issues. Citizen science...
Aviation has been shown to cause high particle number concentrations (PNC) in areas surrounding major airports. Particle size distribution and composition differ from motorized traffic. The objective was study short-term effects of aviation-related UFP on respiratory health children. In 2017–2018 a conducted school panel 7–11 year old children (n = 161) living North South Schiphol Airport. Weekly supervised spirometry exhaled nitric oxide (eNO) measurements were executed. panel, an...
Multi-agent systems (MAS) are increasingly applied to complex task allocation in two-sided markets, where agents such as companies and customers interact dynamically. Traditional company-led Stackelberg game models, set service prices, respond, struggle accommodate diverse personalised customer demands emerging markets like crowdsourcing. This paper proposes a customer-led model for cost-efficient allocation, initiate tasks leaders, create their strategies followers meet these demands. We...
Abstract This paper investigates a problem that lies at the intersection of three research areas, namely automated negotiation, vehicle routing, and multi-objective optimization. Specifically, it scenario multiple competing logistics companies aim to cooperate by delivering truck loads for one another, in order improve efficiency reduce distance they drive. In do so, these need find ways exchange their such each them individually benefits. We present new heuristic algorithm that, given set...
The Automated Negotiating Agents Competition (ANAC) is an annual competition that compares the state-of-the-art algorithms in field of automated negotiation. Although recent years ANAC has given more and attention to complex scenarios, linear bilateral negotiation domains were used for its first few editions are still widely as default benchmark negotiations research. In this paper, however, we argue these should no longer be used, because they too simplistic. We demonstrate with extremely...
In this paper we present a new algorithm for negotiations in non-zero-sum games. Although games have been studied extensively, most game playing algorithms developed under the assumption that players do not communicate. Many real-world problems, however, can be modeled as which may mutually benefit if they coordinate their actions, requires negotiation. The field of Automated Negotiations is another important topic AI, but one usually assumes utility functions explicit expressions and...
In recent years it has been shown that aircraft emissions are a dominant source of ultrafine particles in the surroundings airports. However, health effects long-term (monthly to yearly) exposure these unknown. As part an integrated research program into risks around Schiphol Airport, applicability dispersion model STACKS + assess from aviation was assessed. A detailed comparison between modelled and measured particle number concentrations (PNC) due carried out at ten locations Airport...
Abstract The bargaining problem deals with the question of how far a negotiating agent should concede to its opponent. Classical solutions this problem, such as Nash solution (NBS), are based on assumption that set possible negotiation outcomes forms continuous space. Recently, however, we proposed new for scenarios finite offer spaces de Jonge and Zhang (Auton Agents Multi-Agent Syst 34(1):1–41, 2020). Our idea was model normal-form game, which called concession game , then pick one...