Intelligent control of action: a brief case for cases

It is suggested that developing systems that exhibit intelligent, adaptive control of action can be usefully approached from the perspective of symbolic case-based problem solving supported by a distributed memory representation for the cases. It is also suggested that (1) attempting to prewire solutions to a wide range of potential planning failures is not feasible, either practically or theoretically, and (2) general planning approaches to failure recovery may not be an attractive solution. A possible strategy for manipulating stored cases to make them useful in contexts from which they did not originally result is briefly described