Exploring Machine Cognition Mechanisms for Autonomic Computing

INTRODUCTION Cognitive informatics (CI) is an emerging discipline that studies the natural intelligence and internal information processing mechanisms of the brain, as well as the processes involved in perception and cognition (Chan, Kinsner, Wang, & Miller, 2004; Kinsner, Zhang, Wang, & Tsai, 2005; Patel, Patel, & Wang, 2003; Wang, 2002a, 2003, 2004, 2006, 2007; Wang & Wang, 2006; Wang, Johnston, & Smith, 2002; Wang, Patel, & Patel, 2006; Yao, Shi., Wang, & Kinsner, 2006). CI is a new transdisciplinary field of research that investigates into the most common problems of how the brain processes information shared by almost all science and engineering disciplines and its engineering applications. The theoretical framework of CI has been presented in Wang (2007) with comprehensive surveys on the latest advances in CI, as well as a rich set of theoretical foundations and mathematical means for CI. This editorial presents the theme of this issue of IJCINI on cognitive mechanisms of autonomic computing and laws of human cooperative work organization. In the remainder of this article, the cognitive mechanisms of autonomic computing and machine cognition are explored. The structure of IJCINI Vol.1, No.2 is presented, and the latest development reported in the six papers published in this issue is highlighted. ABSTRACT