Memory Evolutive Systems; Hierarchy, Emergence, Cognition provides comprehensive and comprehensible coverage of Memory Evolutive Systems (MEM). Written by the developers of the MEM, the book proposes a mathematical model for autonomous evolutionary systems based on the Category Theory of mathematics. It describes a framework to study and possibly simulate the structure of living systems and their dynamic behavior. This book contributes to understanding the multidisciplinary interfaces between mathematics, cognition, consciousness, biology and the study of complexity. It is organized into three parts. Part A deals with hierarchy and emergence and covers such topics as net of interactions and categories; the binding problem; and complexifications and emergence. Part B is about MEM while Part C discusses MEM applications to cognition and consciousness. The book explores the characteristics of a complex evolutionary system, its differences from inanimate physical systems, and its functioning and evolution in time, from its birth to its death. This book is an ideal reference for researchers, teachers and students in pure mathematics, computer science, cognitive science, study of complexity and systems theory, Category Theory, biological systems theory, and consciousness theory. It would also be of interest to both individuals and institutional libraries. - Comprehensive and comprehensible coverage of Memory Evolutive System - Written by the developers of the Memory Evolutive Systems - Designed to explore the common language between sciences

This book is about mathematics in the management of innovation, showing how recent advances in mathematics help us grasp and support innovation as a social activity of thinking and imagining together. It will make the reader rethink both innovation and mathematics by having them interplay in practical organizational settings. Told as fiction to make its argument more accessible, the book is nonetheless grounded in theoretical reflections and recent mathematical advances. In recounting the adventures of a committed and enthusiastic inventor-designer hampered by the increasing industrial bureaucratization of his world, it accounts for the fate of many innovation processes in large companies and administrations. Successful innovation hinges on having everyone involved in the process share a space of conceptual exploration. This philosophical aspect of the innovation process is about collective imagination, a notion that customary styles of thought have great difficulty dealing with. This is where mathematics, of a new kind, might prove to be a new platform for better management of innovation.

This book focuses on new developments in polytopic projects, particularly on implementation domains and case studies, as well as high-dimensional methodology. Polytopic projects are based on a general reference architecture inspired and shared by the functional organization of organisms and enterprises as informational and cognitive systems, the scientific and engineering methodology and the operational structure of existing self-evolvable and self-sustainable systems.

Perhaps the most distinct question in science throughout the ages has been the one of perceivable reality, treated both in physics and philosophy. Reality is acting upon us, and we, and life in general, are acting upon reality. Potentiality, found both in quantum reality and in the activity of life, plays a key role. In quantum reality observation turns potentiality into reality. Again, life computes possibilities in various ways based on past actions, and acts on the basis of these computations. This book is about a new approach to biology (and physics, of course!). Its subtitle suggests a perpetual movement and interplay between two elusive aspects of modern science — reality/matter and potentiality/mind, between physics and biology — both captured and triggered by mathematics — to understand and explain emergence, development and life all the way up to consciousness. But what is the real/potential difference between living and non-living matter? How does time in potentiality differ from time in reality? What we need to understand these differences is an integrative approach. This book contemplates how to encircle life to obtain a formal system, equivalent to the ones in physics. Integral Biomathics attempts to explore the interplay between reality and potentiality.

This is the only book which deals with the correlatory comparison between hierarchical living systems and inorganic physical ones. The culmination of the book is the proposition of research to discover and understand the natural underlying level of organization which produces the descriptive commonality of life and physics. Traditional science eliminates life from its purview by its rejection of interrelationships as a primary content of systems. The conventional procedure of science is that of reductionism, whereby complex systems are dismantled to characterize lower level components, but virtually no attention is given to how to rebuild those systems—the underlying assumption is that analysis and synthesis are symmetrical. This book fulfills two main coupled functions. Firstly, it details hierarchy as the major formulation of natural complex systems and investigates the fundamental character of natural hierarchy as a widely transferable ‘container’ of structure and/or function – and this in the case of the new development of a representational or model hierarchy. Secondly, it couples this hierarchical description to that of the electronic properties of semiconductors, as a well-modeled canonical example of physical properties. The central thesis is that these two descriptions are comparable, if care is taken to treat logical and epistemological aspects with prudence: a large part of the book is composed of just this aspect of care for grounding consistency. As such great attention is given to correct assessment of argumentative features which are otherwise presumed ‘known’ but which are usually left uncertain. Development of the ideas is always based on a relationship between entity or phenomenon and their associated ecosystems, and this applies equally well to the consequent derivations of consciousness and information.

Information is a basic structure of the world, while computation is a process of the dynamic change of information. This book provides a cutting-edge view of world's leading authorities in fields where information and computation play a central role. It sketches the contours of the future landscape for the development of our understanding of information and computation, their mutual relationship and the role in cognition, informatics, biology, artificial intelligence, and information technology.This book is an utterly enjoyable and engaging read which gives readers an opportunity to understand and relate phenomena seemingly unrelated in a completely new light — especially the connections between information, computation, cognition and life.

The European Conference on Complex Systems, held under the patronage of the Complex Systems Society, is an annual event that has become the leading European conference devoted to complexity science. ECCS'12, its ninth edition, took place in Brussels, during the first week of September 2012. It gathered about 650 scholars representing a wide range of topics relating to complex systems research, with emphasis on interdisciplinary approaches. More specifically, the following tracks were covered: 1. Foundations of Complex Systems 2. Complexity, Information and Computation 3. Prediction, Policy and Planning, Environment 4. Biological Complexity 5. Interacting Populations, Collective Behavior 6. Social Systems, Economics and Finance This book contains a selection of the contributions presented at the conference and its satellite meetings. Its contents reflect the extent, diversity and richness of research areas in the field, both fundamental and applied.

The global ecological crisis is the greatest challenge humanity has ever had to confront, and humanity is failing. The triumph of the neo-liberal agenda, together with a debauched ‘scientism’, has reduced nature and people to nothing but raw materials, instruments and consumers to be efficiently managed in a global market dominated by corporate managers, media moguls and technocrats. The arts and the humanities have been devalued, genuine science has been crippled, and the quest for autonomy and democracy undermined. The resultant trajectory towards global ecological destruction appears inexorable, and neither governments nor environmental movements have significantly altered this, or indeed, seem able to. The Philosophical Foundations of Ecological Civilization is a wide-ranging and scholarly analysis of this failure. This book reframes the dynamics of the debate beyond the discourses of economics, politics and techno-science. Reviving natural philosophy to align science with the humanities, it offers the categories required to reform our modes of existence and our institutions so that we augment, rather than undermine, the life of the ecosystems of which we are part. From this philosophical foundation, the author puts forth a manifesto for transforming our culture into one which could provide an effective global environmental movement and provide the foundations for a global ecological civilization.

Agent-based modeling/simulation is an emergent approach to the analysis of social and economic systems. It provides a bottom-up experimental method to be applied to social sciences such as economics, management, sociology and politics as well as some engineering fields dealing with social activities. This book includes selected papers presented at the Eighth International Workshop on Agent-Based Approaches in Economic and Social Complex Systems held in Tokyo, Japan, in 2013. At the workshop, 23 reviewed full papers were presented and of those, 13 were selected to be included in this volume.

This book constitutes revised selected papers from the six International Workshops on Behavior Modelling - Foundations and Applications, BM-FA, which took place annually between 2009 and 2014. The 9 papers presented in this volume were carefully reviewed and selected from a total of 58 papers presented at these 6 workshops. The contributions were organized in topical sections named: modelling practices; new ways of behaviour modelling: events in modelling; and new ways of behaviour modelling: protocol modelling.