In this example we have 4 agents able to perform MADeM decisions.
They are named: fran, miguel, fernando and alejandro.

Essentially, the agents define a set of plans showing how to use the 
J-MADeM AgentSpeak API in order to solve the allocation the following 
task: "Who is going to prepare a coffee?". 

The solution set for this decision problem has been modeled as the 
allocation of the task use(coffeeMachine,AgExecutor) to the rest of the
agents (except from fran). 

Following, we show the utility values given by each agent according to 
two basic utility functions: maximumUtilityFunction (referred here as 
maxUF) and minimumUtilityFunction (referred here as minUF).

			maxUF([use(_,myself)]) / maxUF([use(_,Others)])
fran				0.7						0
miguel				0.9						0
fernando			0.8						0
alejandro			0.9						0
			minUF([use(_,myself)]) / minUF([use(_,Others)])
fran				0.1						1
miguel				0.3						1
fernando			0.8						1
alejandro			0.3						1

More details about this example can be found in the paper named "J-MADeM v.1.1: A 
full-ﬂedge AgentSpeak(L) multimodal social decision library in Jason", available
at "doc/publications". 
