Emergence Of Communication In Socio Biological Networks

This book integrates current advances in biology, economics of information and linguistics research through applications using agent-based modeling and social network analysis to develop scenarios of communication and language emergence in the social aspects of biological communications. The book presents a model of communication emergence that can be applied both to human and non-human living organism networks. The model is based on economic concepts and individual behavior fundamental for the study of trust and reputation networks in social science, particularly in economics; it is also based on the theory of the emergence of norms and historical path dependence that has been influential in institutional economics. Also included are mathematical models and code for agent-based models to explore various scenarios of language evolution, as well as a computer application that explores language and communication in biological versus social organisms, and the emergence of various meanings and grammars in human networks. Emergence of Communication in Socio-Biological Networks offers both a completely novel approach to communication emergence and language evolution and provides a path for the reader to explore various scenarios of language and communication that are not constrained to the human networks alone. By illustrating how computational social science and the complex systems approach can incorporate multiple disciplines and offer an integrated theory-model approach to the evolution of language, the book will be of interest to researchers working with computational linguistics, mathematical linguistics, and complex systems.

This publication represents the culmination of the National Academies Keck Futures Initiative (NAKFI), a program of the National Academy of Sciences, the National Academy of Engineering, and the National Academy of Medicine supported by a 15-year, $40 million grant from the W. M. Keck Foundation to advance the future of science through interdisciplinary research. From 2003 to 2017, more than 2,000 researchers and other professionals across disciplines and sectors attended an annual "think-tank" style conference to contemplate real-world challenges. Seed grants awarded to conference participants enabled further pursuit of bold, new research and ideas generated at the conference.

Xenolinguistics brings together biologists, anthropologists, linguists, and other experts specializing in language and communication to explore what non-human, non-Earthbound language might look like. The 18 chapters examine what is known about human language and animal communication systems to provide reasonable hypotheses about what we may find if we encounter non-Earth intelligence. Showcasing an interdisciplinary dialogue between a set of highly established scholars, this volume: Clarifies what is and is not known about human language and animal communication systems Presents speculative arguments as a philosophical exercise to help define the boundaries of what our current science can tell us about non-speculative areas of investigation Provides readers with a clearer sense of how our knowledge about language is better informed through a cross-disciplinary investigation Offers a better understanding of future avenues of research on language This rich interdisciplinary collection, with chapter authors including Noam Chomsky, Derek Ball, Denise Herzing, and Irene Pepperberg, will be of interest to researchers and students studying non-human communication, astrobiology, and language invention.

Every cell, tissue, organ and organism is competent to use signs to exchange information reaching common coordinations and organisations of both single cell and group behavior. These sign-mediated interactions we term biological communication. The regulatory system that works in development, morphology, cell fate and identity, physiology, genetic instructions, immunity, memory/learning, physical and mental disease depends on epigenetic marks. The communication of cells, persistent viruses and their defectives such as mobile genetic elements and RNA networks ensures both the transport of regulatory instructions and the reprogramming of these instructions. But how are the different states of the epigenome orchestrated? The epigenetic pathways respond to various signaling cues such as DNA methylation, histone variants, histone modifications, chromatin structure, nucleosome remodeling, and epigenetic interactions. Epigenetic signals are responsible for the establishment, maintenance and reversal of transcriptional states that are fundamental for the cell's ability to memorize past events, such as changes in the external environment, socio-sphere or developmental cues. External signals trigger changes in the epigenome, allowing cells to respond dynamically. Internal signals direct activities that are necessary for body maintenance, and repairing damaged tissues and organs. With the emergence of epigenetic memory, organisms can fix historical and context dependent impressive experiences. Evolution from now on learnt to learn. Learning means organisms can avoid reproduction of always the same. This is key to adaptation. However, inheritance of acquired characteristics is only one of the many examples of the explanatory power of epigenetics. Behavioral epigenetics demonstrates the way in which environmental and social experiences produce individual differences in behaviour, cognition, personality, and mental health. This book assembles experts to outline the various motifs of all kinds of epigenetic regulation of cells throughout their lives.

An accessible yet rigorous package of probabilistic and statistical tools for anyone who must understand or model extreme events.

This book constitutes the proceedings of the First International Conferences on e-Technologies and Networks for Development, ICeND 2011, held in Dar-es-Salaam, Tanzania, in August 2011. The 29 revised full papers presented were carefully reviewed and selected from 90 initial submissions. The papers address new advances in the internet technologies, networking, e-learning, software applications, Computer Systems, and digital information and data communications technologies - as well technical as practical aspects.

This brief textbook explains the principles of social network analysis. The book goes beyond theoretical concepts and gives the reader complete knowledge about how to apply analytical techniques using Pajek to perform a large-scale network analysis. The book covers the topic in 2 sections – the first detailing fundamentals of research design and the next one about methods and applications. Readers can then apply the techniques in this book to other online communities, such as Facebook and Twitter. The book is intended for networking students and general readers who want to learn the basics without going deep into mathematical methods. It is also useful for researchers and professionals from other fields seeking to understand the basics of large-scale social network analysis.