In multiple criteria Markov Decision Processes (MDP) where multiple costs are incurred at every decision point, current methods solve them by minimising the expected primary cost ...
This paper proposes a combined mechanism for coordinating agents in timed normative multi-agent systems. Timing constraints in a multi-agent system make it possible to force actio...
Lacramioara Astefanoaei, Frank S. de Boer, Mehdi D...
Concurrent constraint programming (ccp) is a model of concurrency for systems in which agents (also called processes) interact with one another by telling and asking information in...
We extend the framework of mixed multi-unit combinatorial auctions to include time constraints, present an expressive bidding language, and show how to solve the winner determinati...
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...