Rette Sich Wer Kann is a strategic and challenging board game

where the players, through a series of elections, try to rescue their

own crewmembers from a sinking ship and win the game. In each

election, the players will need to negotiate with their competitors

to find enough support to ensure a favourable outcome. In the end

though, only one player can win the game. Hence the players are

forced to cooperate in order to compete.



Another aspect of Rette Sich Wer Kann is the possibility of deceit

as a promise made in the negotiations is a promise that may be broken.

Hence the game deals with issues of deceit and trust.



These interesting aspects of the negotiation in Rette Sich Wer

Kann makes it an interesting game to study for Multi-Agent Systems.

The first part of this report deals with the implementation of Rette

Sich Wer Kann in software in order to create a platform on which

rtificially intelligent agents may play the game and be the subject for

Multi-Agent Systems research.



The second part of the report details the agents that has been

created to run on the aforementioned platform and evaluates their

performance. The most interesting of those agents is the I-Owe-You

Negotiator which trades favours with other Negotiators in order to

win the game.