How might we manage the attention of a computer chess program in order to play a stronger positional game of chess? A new heuristic is proposed, based in part on the Weick organizing model. We evaluate the 'health' of a game position from a Systems perspective, using a dynamic model of the interaction of the pieces. The identification and management of stressors and the construction of resilient positions allow effective postponements for less-promising game continuations due to the perceived presence of adaptive capacity and sustainable development. We calculate and maintain a database of potential mobility for each chess piece 3 moves into the future, for each position we evaluate. We determine the likely restrictions placed on the future mobility of the pieces based on the attack paths of the lower-valued enemy pieces. Knowledge is derived from Foucault's and Znosko-Borovsky's conceptions of dynamic power relations. We develop coherent strategic scenarios based on guidance obtained from the vital Vickers/Bossel/Max-Neef diagnostic indicators. Archer's pragmatic 'internal conversation' provides the mechanism for our artificially intelligent thought process. Initial but incomplete results are presented.