摘要：Intelligence and Knowledge play more and more important roles in building
complex intelligent systems, for instance, intrusion detection systems, and
operational analysis systems. Knowledge processing in complex intelligent
systems faces new challenges from the increased number of applications and
environment, such as the requirements of representing domain and human knowledge
in intelligent systems, and discovering actionable knowledge on a large scale in
distributed web applications. In this paper, we discuss the main challenges of,
and promising approaches to, intelligence metasynthesis and knowledge processing
in open complex intelligent systems. We believe (1) ubiquitous intelligence,
including data intelligence, domain intelligence, human intelligence, network
intelligence and social intelligence, is necessary for OCIS, which needs to be
meta-synthesized; and (2) knowledge processing should pay more attention to
developing innovative and workable methodologies, techniques, tools and systems
for representing, modelling, transforming, discovering and servicing the
uncertain, large-scale, deep, distributed, domain-oriented, human-involved, and
actionable knowledge highly expected in constructing open complex intelligent
systems. To this end, the meta-synthesis of ubiquitous intelligence is an
appropriate way in designing complex intelligent systems. To support
intelligence meta-synthesis, m-interaction can play as the working mechanism to
form m-spaces as problem-solving systems. In building such m-spaces, advancement
in knowledge processing is necessary.
关键词：intelligence meta-synthesis, knowledge processing, m-interaction, m-space, open
complex intelligent systems
