5. Pictures of Knowledge Development and Dissemination
The big weakness of big paper archives and generic search engines is that they have to cover a very broad range of topics written about in a broad range of styles. Effective search strategies require the application of domain-specific meta-information. An analogy can be drawn with the `No Free Lunch' theorems in computer science [5] which show (in a very abstract way and over an unnaturally large set of possible search spaces) that no search algorithm is better than others over all possible search spaces.
In the fields of AI and machine learning context-dependent learning and reasoning are increasingly seen to be powerful tools (e.g. [1]). Further there is increasing evidence that human learning and reasoning is inherently context-dependent (e.g. [6]). Review boards allow the introduction of context-dependency to a greater extent than journals because as well as covering different areas in different ways they can also cover the same papers in different ways for different audiences and purposes.
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