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"information-processing systems"
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Evolutionary Perspective on Human Cognitive Architecture in Cognitive Load Theory: a Dynamic, Emerging Principle Approach
Adopting an evolutionary approach to substantiate major characteristics of human cognitive architecture has been one of the major recent developments in cognitive load theory. According to this approach, human cognitive architecture is a natural information processing system which can be described by five general principles. This paper attempts to (1) identify the scope of applicability of these principles in natural information processing systems of different levels of complexity, (2) reconcile the coexistence of implicit (primary) and controlled (secondary) processes within the same human cognitive architecture, and (3) incorporate motivational factors into the evolutionary approach to human cognitive architecture. The paper suggests two principal modifications to the traditional formulation of the evolutionary approach. Firstly, natural information processing systems are viewed as dynamically evolving systems with new principles added with increasing levels of complexity of the systems. Secondly, a new (the explicit intention to learn) principle is added at the level of human cognition. This sixth principle is expected to address (1) the emergence of controlled mechanisms dealing with biologically secondary information as expressed by conscious processing in working memory and (2) the role of learner motivation in such processes from an evolutionary perspective. The paper concludes with discussion of theoretical and practical instructional implications of the proposed modifications.
Journal Article
Information systems for managers : text & cases
\"The two versions of Piccoli: a second edition of IS for Managers: Text and Cases and a first edition of a text only version, titled Essentials of IS for Managers offer an engaging, non-academic style and actionable frameworks to help readers develop value added IT-dependent strategic initiatives. The version with cases offers an \"all in one\" book for those who don't want to choose their own cases. Each case has extensive notes prepared by the author to help teach a meaningful course. Part III on \"The Strategic use of IS\" offers unique and useful frameworks that MBAs will be able to put into practice. \"-- Provided by publisher.
Book
Big Data, Little Data, No Data
\"Big Data\" is on the covers ofScience, Nature, theEconomist, andWiredmagazines, on the front pages of theWall Street Journaland theNew York Times.But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six \"provocations\" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
eBook
Optical cryptosystems
Advanced technologies such as artificial intelligence, big data, cloud computing, and the Internet of Things have changed the digital landscape, providing many new and exciting opportunities. However, they also provide ever-shifting gateways for information theft or misuse. Staying ahead requires the development of innovative and responsive security measures, and recent advances in optical technology have positioned it as a promising alternative to digital cryptography. Optical Cryptosystems introduces the subject of optical cryptography and provides up-to-date coverage of optical security schemes. Optical principles, approaches, and algorithms are discussed as well as applications, including image/data encryption-decryption, watermarking, image/data hiding, and authentication verification. This book also includes MATLAB[reg] codes, enabling students and research professionals to carry out exercises and develop newer methods of image/data security and authentication.
eBook
Neural network properties of hydrophilic polymers as a key for development of the general theory of evolution
The analysis of the existing literature demonstrates that in order to address the fundamental challenges associated with the origin of life, it is essential to consider this problem from a comprehensive perspective, specifically from the vantage point of the general theory of evolution of complex systems. From these positions, life should be regarded as a distinctive instance of an information storage and processing system that emerges naturally. Evolutionary processes should be examined from the vantage point of the coevolution of material and informational components, which has not been sufficiently emphasized hitherto. It is shown that a specific example in this respect is analogues of neural networks spontaneously formed in solutions of some hydrophilic polymers. Such systems lead to the formation of non-trivial information objects. A wide range of other examples is considered, proving that the processes occurring with the participation of hydrophilic polymers should be interpreted, among other things, from the point of view of formation of information objects, which, under certain conditions, influence the processes occurring at the molecular and supramolecular level. It is shown that it is reasonable to use the tools of classical dialectics to solve such fundamental problems as that of the origin of life.
Journal Article
