Business processes are often likely to undergo drastic changes and hence the workflow systems that model, simulate and enact these processes should support the monitoring and cont...
Bastin Tony Roy Savarimuthu, Maryam Purvis, Martin...
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
This paper describes our work constructing a generalized framework for modeling multi agent interactions in education-related applications. Historically, interactive learning syst...
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
The aim of this paper is to provide a logical framework for the specification of autonomous Multi-Agent Systems (MAS). A MAS is autonomous in so far as it is capable of binding (...