realization of a broad range of knowledge processes. These include processes that are thetraditional focus of the discipline of knowledge engineering, for example, knowledge acquisition, knowledge modeling and the development of knowledge-based systems.
In the present paper, I have sought to provide an initial overview of the knowledge machine concept, and I have highlighted some of the ways in which the knowledge machine concept can be applied to existing areas of research. In particular, the present paper has identified a number of examples of knowledge machines (see Section 3), discussed some of the mechanisms that underlie their operation (see Section 5), and highlighted the role of Web technologies in supporting the emergence of ever-larger knowledge processing organizations (see Section 8). The paper has also highlighted a number of opportunities for collaboration between a range of disciplines. These include the disciplines of knowledge engineering, WAIS, sociology, philosophy, cognitive science, data science, and machine learning.
Given that our success as a species is, at least to some extent, predicated on our ability to manufacture, represent, communicate and exploit knowledge (see Gaines 2013), there can be little doubt about the importance and relevance of knowledge machines as a focus area for future scientific and philosophical enquiry. In addition to their ability to harness the cognitive and epistemic capabilities of the human social environment, knowledge machines provide us with a potentially important opportunity to scaffold the development of new forms of machine intelligence. Just as much of our own human intelligence may be rooted in the fact that we are born into a superbly structured and deliberately engineered environment (see Sterelny 2003), so too the next generation of synthetic intelligent systems may benefit from a rich and structured informational environment that houses the sum total of human knowledge. In this sense, knowledge machines are important not just with respect to the potential transformation of our own (human) epistemic capabilities, they are also important with respect to the attempt to create the sort of environments that enable future forms of intelligent system to press maximal benefit from the knowledge that our species has managed to create and codify.