  The paper proposes a fresh look at the concept of goal and advances that
motivational attitudes like desire, goal and intention are just facets of the
broader notion of (acceptable) outcome. We propose to encode the preferences of
an agent as sequences of "alternative acceptable outcomes". We then study how
the agent's beliefs and norms can be used to filter the mental attitudes out of
the sequences of alternative acceptable outcomes. Finally, we formalise such
intuitions in a novel Modal Defeasible Logic and we prove that the resulting
formalisation is computationally feasible.
