Information and communication technologies are increasingly prolific worldwide, exposing the issues and challenges of the assimilation of existing living environments to the shift in technological communication infrastructure. ""Reflexing Interfaces"" discusses the application of complex theories in information and communication technology, with a focus on the interaction between living systems and information technologies. This innovative view provides researcher, scholars, and IT professionals with a fundamental resource on such compelling topics as virtual reality; fuzzy logic systems; and complexity science in artificial intelligence, evolutionary computation, neural networks, and 3-D modeling.

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.

The classical Roman poet, Titus Lucretius Carus (c. 99 BC c. 55 BC), described the clinamen, or swerve, as an occurrence that we now call singularity, also popularised as the butterfly effect. His poem, De Rerum Natura (On the Nature of Things), reminds us that an awareness of the intrinsic complexity of natural dynamics has been present for a very long times in human culture (Lucretius, 54BC in 1971; Greenblatt, 2011). It is quite recently, however, that complexity has become a suitable scientific approach. The meta-paradigm of Complexity Science crosses over different disciplines, from physics and mathematics to biology, social sciences, and now psychotherapy. Complexity Science is the scientific toolbox for complex dynamical systems. This definition comprehends a series of sub-disciplines: dissipative systems, cellular automata, fractals, catastrophes, self-organisation, self-organised criticality, chaos theory, fuzzy logic, stochastic resonance, cellular automata, neural networks, genetic algorithms, and others.

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 current material in the study of areas of complex systems research, with a particular focus on mind force studies. Topics discussed include mind force theory hyper-network dynamics in neuroscience; neural resonance; a review into the generalised spectrum of dimensions; circle mapping applied in neural impulse sequence analysis neuron code research; gender-specific strange attractors describe human brain development during childhood, latency, adolescence and young adulthood and epileptiform activity in hippocampal neuronal network triggered by human anti-GAD antibodies.

Neuroscience is the scientific study of the nervous system. Traditionally, neuroscience has been seen as a branch of biology. Nevertheless, it is currently an interdisciplinary science that involves other disciplines such as psychology, computer science, mathematics, physics, philosophy, and medicine. As a result, the scope of neuroscience has broadened to include different approaches used to study the molecular, developmental, structural, functional, evolutionary, computational, and medical aspects of the nervous system. This book discusses and presents research on a number of topics in the field of neuroscience, including mind force theory; neural resonance; circle mapping; the generalised spectrum of dimensions; and epileptiform activity in hippocampal neuronal networks.

This book presents new 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 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.

Ferrofluids, are strange materials that are part liquid, part magnet, and which solidify when exposed to magnetic fields. They consist of nanometer-sized magnetic particles dispersed in a nonmagnetic fluid such as water or kerosene and form a magnetic liquid. Ferrofluids are stable colloidal suspensions of nanosized magnetic materials in a suitable basefluid. They can be synthesised with or without suitable surface coatings. The properties are greatly influenced by the grain size, carrier fluid chosen, and composition of the magnetic material and concentration of them in the fluid. Their flow and properties can be tuned with the application of an external magnetic field. The application potential of ferrofluids is enormous. They are important templates, from the fundamental physics point of view, to study the magnetism of non-interacting nanodomains. Also by tuning the concentration of this system, the effect of interaction also could be studied. They are also ideal templates for studying the quantum confinement effects in nanomagnetic materials. Hence, optically they are ideal systems as the grain size approaches the Bohr radius limit, high quantum confinement and induced blue shift can make them optically more transparent, and this confined exciton can assist in non-linear absorptions. As a random media, this can offer induced scattering which can make them good optical limiters owing to their high shelf life and stability against agglomeration.

This book presents current material in the study of areas of complex systems research. Relevant topics include 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. Topics discussed in this particular volume include Mind Force Theory; fractal geometry in artificial worlds; cognitive factors and changes in individual decision making; case-based reasoning; fractals in architecture and alpha rhythms and memory processes.

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 new 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.

This book presents new 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.