We consider (prediction) markets where myopic agents sequentially interact with an automated market maker. We show a broad negative result: by varying the order of participation, ...
A discrete-time financial market model is considered with a sequence of investors whose preferences are described by utility functions Un defined on the whole real line. It is s...
In our work the focus is on emergent behaviour in large groups of stock market participants. We do not assume that market participants take rational investment decisions based on f...
When using a planner-based agent architecture, many things can go wrong. First and foremost, an agent might fail to execute one of the planned actions for some reasons. Even more ...
In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...