Complex Systems

ContentsSection 1: FundamentalsNon-relativistic time, existence and adaptation; On computing the behavior of the mind from an eastern philosophical perspective; Complexity as the defining feature of the 21st century; Factors that facilitate organisational change in complex systems; Mutual shaping between technologies and law: memories of Norwegian e-health infrastructures; 'In' or 'as' space?: a model of complexity, with philosophical, simulatory, and empirical ramifications; Toward thermodynamics of real-time scheduling; Semantic shift to pragmatic meaning in shared decision making: situation theory perspective; Techniques for multifractal spectrum estimation in financial time seriesSection 2: Applications in business and industryAddressing supply-chain complexity using closed-loop simulation-based exercises; Price competition strategy of internet platforms; A novel dwelling time design method for low probability of intercept in a complex radar network; Systems analysis for energy systems using an integrated model of GIS and technology models; Analysing the Chinese stock market using the Hurst exponent, fractional Brownian motion and variants of a stochastic logistic differential equation; Effects of mobile application to the public transportation and future editing: Istanbul caseSection 3: Applications in various fieldsSupporting sensemaking to deal with organizational complexity; The relationship between employee health, quality culture and organizational effectiveness: findings from the literature; Systems engineering beliefs: contemplating personal perceptions regarding state of the art; Value-sensitive design for indigenous people of Oaxaca, Mexico; Influences in a biologically complex adaptive system: environmental stress affects dental development in a group of Romano-BritonsSection 4: Multi-agent applicationsA multi-agent solution for managing complexity in English to Sinhala machine translation; Using a multi-agent system for supply chain management; Design and development of an agent-based model for business operations faced with flood disruption; Using multi-agent technology for the distributed management of a cluster of remote sensing satellites; Multi-agent method to adaptive real-time train scheduling with conflict limitationsAuthor index