for which no global optima exists. over-constrained problems e.g. xomo K.I.S.S. for business managers was a principle ignored by Henri Fayol who, in 1916, argued that managers should systematically work thorugh all available data. In Fayol's model, managers work through all options to systematically plan, organize, co-ordinate and control. Subsequent research was very negative to Fayol's conclusions and showed that K.I.S.S. for managers was essential. Mintzberg~ \cite{mintz75} studied in detail the actual behavior of managers and found (e.g.) \begin{smallitem}\item 56 U.S. foremen who averaged 583 activities in an eight-hour shift (one every 48 seconds). \item 160 British middle and top managers who worked for half an hour or more without interruption only once every two days. \end{smallitem} Note tha these empirical results of actual managerial behavior does not fit Fayol's model of managers as systematic planners. Mintzberg's managers must be making faster decisions using less data than Fayol's mythical managers. Clearly, Mintzberg's managers need a lot of K.I.S.S. Mintzberg's results lends credence to Simon's theory of {\em bounded rationality}~\cite{simon82}. Simon rebelled against traditional theories of perfect decision making where (e.g.) agents considered all options by (e.g.) assigning probabilities to all possibilities. This can't be a model of human decision making, argued Simon, since in the real world, human agents have \bi \item limited time and computational ability; \item limited computational ability (or limited time for computation); \item limited knowledge about decision alternatives;\item uncertainty about possible outcomes of decisions\item uncertainty about pay-offs; \item no more than a partial ordering of preferences; \item limited information about probabilities of outcomes. \ei Simon's proposed alternate model was very K.I.S.S. In Simon's model, agents search for decisions that accedes some {\em aspiration level} of what they are willing to accept as a satisfactory outcome. In the case of resource limitation (e.g. an impending deadline when a decision must be made), the search may be incremental and may stop as soon as any option is found. Over time the aspiration level may be raised or lowered depending upon outcome of previous searches. Simon's point was that real agents don’t need to make optimal decisions. Rather, they need to make just enough decisions that are just good enough. In Simon's terminology, such decisions are {\em satisficing}. This article offers TAR2 as a method for finding minimal, hence K.I.S.S. satisficying solutions.