Sunday, April 16, 2017

In my read of (2003 edition) AI, Norvig-Russell, the authors say, bounded optimality offers the best hope for a strong AI theory. They define aspects of artificial intelligence as:

1.      Problem solving,
2.      Knowledge and reasoning,
3.      Planning
4.      Uncertain knowledge and reasoning,
5.      Learning,
6.      And communicating,

The above, are strongly aspects and agenda of project management practice. The field is new, and being elaborated of what is and is not, and its present reach, the strongly normative body of knowledge in PM BOK, 5th edition is an example of the vast area of the field. In my practice, with engineering and construction on certain performance contracts (EPCM mostly), I have seen management practice as either based on the procedures of the enterprise (we tell you how to do it), or progressive tribal knowledge (project have their own ideas of how the practice should look like, right or wrong), I’d see many opportunities for refinement, if these two cultures could check themselves against PM BOK, the latter has its own limitation, since it is still growing, it is a consensus model, a different name for tribal knowledge. Now, would a field like mathematics (with its strong tribalism as much as it is effective specify parts of nature), contribute to the PM BOK? I hope there will be cross pollination among the fields, I guess there are. I loved noticing the above authors’ hope for strong AI as bounded optimality, it is strongly reflective of what a project manager does or tries to do, irrespective of their domain, building a power plant, or launching a space telescope. Ali

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