Big data analytics:Computational intelligence techniques and application areas

Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment

What role can growth curves play in forecasting with particular reference technology strategy?

This paper is the output from a collaborative research project with the Department of EngineeringPreviously, papers have been presented to the IWCS which have looked at the use of a limited set of equations to help predict the path of technology. The results were promising and indicated that a set of biologically inspired equations providing analogies for technology push, consumer pull and ‘me too’ type self fuelling growth had potential in predicting (a) the maximum speed etc. of a technology or maximum size of a market (b) the point at which a replacement technology should be invested in (c) understanding the market dynamics driving a technology. Currently an interview-based survey is underway to further investigate this hypothesis. This paper will present the preliminary results of this survey

Indicators of Economic Crises : A Data-Driven Clustering Approach

The determination of reliable early-warning indicators of economic crises is a hot topic in economic sciences. Pinning down recurring patterns or combinations of macroeconomic indicators is indispensable for adequate policy adjustments to prevent a looming crisis. We investigate the ability of several macroeconomic variables telling crisis countries apart from non-crisis economies. We introduce a selfcalibrated clustering-algorithm, which accounts for both similarity and dissimilarity in macroeconomic fundamentals across countries. Furthermore, imposing a desired community structure, we allow the data to decide by itself, which combination of indicators would have most accurately foreseen the exogeneously defined network topology. We quantitatively evaluate the degree of matching between the data-generated clustering and the desired community-structure.info:eu-repo/semantics/publishedVersio

Human Computation and Convergence

Humans are the most effective integrators and producers of information, directly and through the use of information-processing inventions. As these inventions become increasingly sophisticated, the substantive role of humans in processing information will tend toward capabilities that derive from our most complex cognitive processes, e.g., abstraction, creativity, and applied world knowledge. Through the advancement of human computation - methods that leverage the respective strengths of humans and machines in distributed information-processing systems - formerly discrete processes will combine synergistically into increasingly integrated and complex information processing systems. These new, collective systems will exhibit an unprecedented degree of predictive accuracy in modeling physical and techno-social processes, and may ultimately coalesce into a single unified predictive organism, with the capacity to address societies most wicked problems and achieve planetary homeostasis.Comment: Pre-publication draft of chapter. 24 pages, 3 figures; added references to page 1 and 3, and corrected typ

Is the 2007 US Sub-Prime Financial Crisis So Different? An International Historical Comparison

Economic

The Aftermath of Financial Crises

Economic

When management encounters complexity

This paper aims at showing how management has come to encounter the sciences of complexity. Therefore the various levels and domains of management are outlined which leverage from the study of complexity. This is not, however, a descriptive study. Rather, we focus on how management can benefit from knowing of the sciences of complexity. New tools and rods, new languages and approaches are sketched that show a radical shift in management leading from a once dependent discipline from physics and engineering, towards a biologically and ecologically permeated new management.Whereas the main concern for complexity consists in understanding complex phenomena and systems, at the end a number of successful applications of complexity to management and entrepreneurial consulting are considered

Value and utility in a historical perspective

Since value and utility are the highest profile abstractions that underlie an epoch’s intellectual climate and ethical principles, their evolution reflects the transformation of socioeconomic conditions and institutions. The “Classical Phase” flourished during the first global system, laissez-faire/metal money/zero multilateralism (GS1); the second, “Subjective/Utilitarian” phase marked the long transition to the current epoch of “Modern Subjectivism/General Equilibrium,” tied to the second and extant global system, mixed economy/minimum reserve banking/weak multilateralism (GS2). History has witnessed the material de-essentialization of value and substantialization of utility. But now the two concepts face a thorough transvaluation as the world’s combined demographic and economic expansion encounters ecological/physical limitations. An extended macrohistoric implosion may lead to a third form of global self-organization: two-level economy/maximum bank reserve money/strong multilateralism (GS3). If history unfolds along the suggested path, not only economics, but also thinking about economics would change. It would be considered an evolving hermeneutic of the human condition expressed through global-system-specific texts. The implied critical alteration, with the recognition of the entropy law’s importance as its focal point, matches the prediction of Swiss thinker Jean Gebser (1905-1973) about the impending mutation of human consciousness into its integral/arational structure. Such extrapolations form the context in which the fourth historical phase of value and utility is hypothesized, leading to the material re-essentialization of value and de-substantialization of utility