Showing papers by "Mihai Nadin published in 2014"

G-Complexity, Quantum Computation and Anticipatory Processes

Abstract: Computation is the medium of contemporary science. To understand the consequences of this gnoseological and epistemological revolution, one has to evaluate the outcome. As sciences become computational, difficulties concerning data processing associated with knowledge acquisition and dissemination are reduced. The focus on data afforded a quantum leap in many domains, including computation itself. The word complexity became part of the modern scientific discourse as a result of our ability to capture more data, and to associate it with interactions characterized quantitatively. In the process, the notion of complexity itself lost its resolution. This study introduces the undecidable as a criterion for characterizing a particular type of complexity. Defined as G-complexity, it allows for the understanding of questions pertinent to knowledge about the world, in particular, the living. With decidability as a well-defined criterion for complexity, we provide a context for understanding how experimental evidence—the hallmark of science in our days—can be accumulated, and what the characteristics of scientific work are at this juncture in the development of science.

Quantifying Anticipatory Characteristics. The AnticipationScope™ and the AnticipatoryProfile™

Abstract: Anticipation has frequently been acknowledged, but mainly on account of qualitative observations. To quantify the expression of anticipation is a challenge in two ways: (1) Anticipation is unique in its expression; (2) given the non-deterministic nature of anticipatory processes, to describe quantitatively how they take place is to describe not only successful anticipations, but also failed anticipations. The AnticipationScope is an original data acquisition and data processing environment. The Anticipatory Profile is the aggregate expression of anticipation as a realization in the possibility space. A subsystem of the AnticipationScope could be a predictive machine that monitors the performance of deterministic processes.

Can Predictive Computation Reach the Level of Anticipatory Computing

Abstract: Predictive computation is rapidly becoming the new focus of computer science and technological development. In some cases, under marketing pressure, it is characterised as ‘anticipatory computing.’ In other cases, computation is expected to deliver predictive phenotyping, or new materials that will behave according to predefined expectations. Since dealing with the future is significant from the perspective of acknowledging and preparing for change, concepts pertinent to describing the future take on importance. There is a pragmatic necessity for establishing a common understanding of various aspects of prediction: forecasting, premonition, guessing, inference, foretelling, prolepsis, expectation, etc. Technology affords new possibilities, such as wearables and mobile computation. However, technology does not substitute for a sense of direction.