We address the problem of standardising the semantics of agent communication. The diversity of existing approaches suggests that no single agent communication language can satisfa...
We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
Pieter Jan't Hoen, Sander M. Bohte, Han La Poutr&e...
People tend to form social networks within geographical areas. This can be explained by the fact that generally geographical localities correspond to common interests (e.g. studen...
To allow for flexibility in software structures (architectures) especially plugins and agents are proposed solutions. While plugins are used to support the conceptual and practica...
Lawrence Cabac, Michael Duvigneau, Daniel Moldt, B...
This is an investigation into the feasibility of agentprovided assistance for two specific situations, (1) when a previously-interrupted task is resumed, offer to open previously-...