Opportunities and Prospects

The world is becoming increasingly connected, both loosely and tightly, in terms of explicit or implicit coupling relationships. However large-scale a system is, scale may be less important in the new data and information processing technology evolution than other system complexities, such as invisible heterogeneity, coupling relationships, human involvement, and ubiquitous intelligence in particular.

[1]  Fred Pearce,et al.  Step up to the plate , 2014 .

[2]  John H. Miller,et al.  Complex adaptive systems - an introduction to computational models of social life , 2009, Princeton studies in complexity.

[3]  Katherina Glac Triple Bottom Line , 2015 .

[4]  Longbing Cao,et al.  Coupling learning of complex interactions , 2015, Inf. Process. Manag..

[5]  Robert Nichols,et al.  In The Air , 1991 .

[6]  MengChu Zhou,et al.  Engineering Open Complex Agent Systems: A Case Study , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[7]  P. Haggard Look and feel , 2001, Trends in Cognitive Sciences.

[8]  Melanie Mitchell,et al.  Complexity - A Guided Tour , 2009 .

[9]  Dominique Chu,et al.  Complexity: against systems , 2011, Theory in Biosciences.

[10]  Diana Wright,et al.  Thinking in systems: a primer , 2012 .

[11]  MengChu Zhou,et al.  Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[12]  Chengqi Zhang,et al.  Ubiquitous Intelligence in Agent Mining , 2009, ADMI.

[13]  Longbing Cao,et al.  Non-IIDness Learning in Behavioral and Social Data , 2014, Comput. J..