Connections between genes and molecules, neurons and hormones, thinking and language, people and organizations create a continuous flow of synchronized interactions. These intermingled interactions form dynamical networks across many scales, from molecular, to biological, to cognitive and social. In a sequence of cycles, the reader is guided in this heterogeneous hypernetwork to discover the fields and landscapes of Mind Force. Mind, brain, body and society emerge from the same stream through the complexity of nature: the energy of Mind Force and human attractions.
This book focuses on the successes and difficulties of nonlinear studies, particularly in the areas of Mind Sciences. It atttempts to answer the following questions: is an interdisciplinary contamination of complexity studies in different disciplines useful? Does this contamination originate in a transdisciplinary toolbox of methods and models which is worth calling it ?Nonlinear Science?? What are the relations between the metaphoric approach and the mathematical approach in natural sciences and humanities? Complexity in the Life Sciences represents a fundamental workbench for these kinds of problems. The fascinating challenge in these areas is represented by studies on mind functioning.
This publication reviews the foundations of ethics in the history of Western thinking. It connects these philosophical matters with evolutionary theory and contemporary bioethics, biology and medicine, posing new questions for the current dialectics between categorical and contextual ethics. Novel answers are presented from complexity theory ? self-organization and nonlinear dynamics.
This book presents leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.
Discloses the richness of ideas and sheds light on the controversy that characterized the transition from fascism to democracy, examining authors, works and memories that were subsequently silenced by Cold War politics. How a shared memory of Fascism and its cultural heritage took shape is still today the most disputed question of modern Italy, crossing the boundaries between academic and public discourse. Against Redemption concentrates on the historical period in which disagreement was at its highest: the transition between the downfall of Mussolini in July 1943 and the victory of the Christian Democrats over the Left in the 1948 general elections. By dispelling the silence around the range of opinion in the years before the ideological struggle fossilized into Cold War oppositions, this book points to early postwar literary practices as the main vehicle for intellectual dissent, shedding new light on the role of cultural policies in institutionalizing collective memory. During Italy’s transition to democracy, competing narratives over the recent traumatic past emerged and crystallized, depicting the country’s break with Mussolini’s regime as a political and personal redemption from its politics of exclusion and unrestrained use of violence. Conversely, outstanding authors such as Elsa Morante, Carlo Levi, Alberto Moravia, and Curzio Malaparte, in close dialogue with remarkable but now-neglected figures, stressed the cultural continuity between the new democracy and Fascism, igniting heated debates from opposite political standpoints. Their works addressed questions such as the working through of national defeat, Italian responsibility in World War II, and the Holocaust, revealing how the social, racial, and gender biases that characterized Fascism survived after its demise and haunted the newborn democracy.
There are new and important advancements in todays complexity theories in ICT and requires an extraordinary perspective on the interaction between living systems and information technologies. With human evolution and its continuous link with the development of new tools and environmental changes, technological advancements are paving the way for new evolutionary steps. Complexity Science, Living Systems, and Reflexing Interfaces: New Models and Perspectives is a collection of research provided by academics and scholars aiming to introduce important advancements in areas such as artificial intelligence, evolutionary computation, neural networks, and much more. This scholarly piece will provide contributions that will define the line of development in complexity science.
Connections between genes and molecules, neurons and hormones, thinking and language, people and organizations create a continuous flow of synchronized interactions. These intermingled interactions form dynamical networks across many scales, from molecular, to biological, to cognitive and social. In a sequence of cycles, the reader is guided in this heterogeneous hypernetwork to discover the fields and landscapes of Mind Force. Mind, brain, body and society emerge from the same stream through the complexity of nature: the energy of Mind Force and human attractions.
This book presents leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.
This book presents the latest leading-edge international research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.
This book presents leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.
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