Everyday human decision making involves various kinds of no n-classical reasoning such as reasoning with uncer tainty, exceptions, similarity, vagueness, incompl ete or contradictory information and many others. These types of reasoning usually show two intertwi ned aspects, an ampliative aspect (augmenting the underlying reasoning by allowing more conclusions) and a defeasible aspect (curtailing the underlyin g reasoning by either disregarding or disallowing some conclusions that somehow ought not to be sanc tioned). Several efforts have been put into the st udy and definition of formalisms within which the aforementioned aspects of everyday reasoning could adequately be captured at different levels. But d espite the progress that has been achieved, large avenues remain open for exploration.
\n\nD ARe aims at bringing together researchers and prac titioners from core areas of artificial intelligen ce, cognitive sciences, philosophy and related dis ciplines to discuss these kinds of problems and re levant results in a multi-disciplinary forum. The goal of the workshop is to present latest research developments, to discuss current directions in th e field, and to collect first-hand feedback from t he community.
\nDARe welcomes contributions on all aspects of defeasible and am pliative reasoning. We invite submissions of paper s presenting original research results or position statements. Submissions must be prepared using th e Springer LNAI/LNCS format and should be no longe r than 13 pages (not counting the references).
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