We show the first detailed realistic e-business application scenario that uses and exploits capabilities of the SweetRules V2.1 toolset for e-contracting using the SweetDeal approa...
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
We are developing a digital writing tool, Polymorphic Letters (PL), to investigate hand and pen movements as they may extend and enrich expression in written language. PL recogniz...
Andrea Taylor, Zoltan Foley-Fisher, Carol Stroheck...
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
Time management is essential when simulating multi-agent systems (MASs) as it allows consistent and repeatable simulation runs. So far, time management lacks support to express the...
Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yo...