This special issue “Inferences and Information Processing in a Conditional Framework“ is dedicated to conditionals as central objects for inferencing and information processing. It presents selected revised papers of the Workshop on Conditionals, Information, and Inference, CII'04, held in Ulm, Germany, co-located with the German national conference on AI, KI'2004.Conditional statements If A then B carry a very special kind of information that can not be captured by interpreting them as material implications. Roughly speaking, the premise, A, provides a context (...) in which it seems plausible to conclude B. So, each conditional can be seen as establishing a tight but flexible link between premise and conclusion, making up a unique piece of information. This link can and has been used successfully for knowledge representation, in particular, for nonclassical inferences and revising beliefs.It is just this generic, dynamic nature of conditionals that makes them most fascinating objects which are, however, difficult to control. But it seems that the problems one typically encounters when using conditionals for reasoning, mostly occur due to the narrowness of thinking strictly along classical lines that we have been getting used to. Classical logic has imposed a rigidity on human thinking that helped a lot making reasoning formal, precise, and clear. Conditionals, on the other hand, open up dimensions beyond classical theories, leaving room for plausibility, uncertainty, intuition, and commonsense reasoning. Philosophers and logicians have been discussing their logical nature since the …. (shrink)