Objective
A major goal of Artificial Intelligence is designing agents: systems that perceive their environment and execute actions. In particular, a fundamental question is how to build intelligent agents. When uncertainty and many agents are involved, this question is particularly challenging, and has not yet been answered in a satisfactory way.
The need for scalable and flexible multiagent planning is particularly pressing given that intelligent distributed systems are becoming ubiquitous in society. For instance, autonomous guided vehicles transport cargo and people, inter-vehicle communication allow cars to form vehicular networks, smart grid infrastructure allows consumers to produce and sell electricity, and surveillance cameras provide urban security and safety. In these settings, the controller of the vehicle, the consumers, or the controller of the cameras all need to act in the face of uncertainty.
For an agent in isolation, planning under uncertainty has been studied using decision-theoretic models like Partially Observable Markov Decision Processes (POMDPs). Such single-agent, centralized methods clearly do not suffice for large-scale multiagent systems. I focus on multiagent techniques, and I propose to advance the state of the art as follows.
First, instead of the rigid history-based plans currently in use, I will develop a flexible plan representation with methods for determining the impact on other agents of updating one agent's plan. Second, I will consider scenarios with self-interested agents, relevant in domains such as smart grids or cars driving on a highway. I will be able to scale up non-cooperative techniques by exploiting local interactions between agents. These advances will be empirically tested in intelligent transportation systems and smart grids.
Moving to TU Delft will allow me to learn from their expertise on re-planning, and on planning with self-interested agents, as well as provide unique opportunities for the empirical evaluation.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- natural sciences computer and information sciences artificial intelligence machine learning reinforcement learning
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2010-IEF
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
2628 CN DELFT
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.