With his work on computer logic, John H Holland became one of the most important founders of modern computer science. People who knew John H Holland were all amazed and deeply influenced by his incredibly imaginative and creative mind. He produced many more ideas than he could follow up in his life time. This selection of his papers in the field of computer logic entails many of his explored and unexplored ideas. Revisiting the explored ideas and exploring the unexplored ones should be of great interest to scientists of all ages, and of great value to the current research not only in computer science but in many other fields as well.

The contents of this book continues the theme as in the previous volume on cultural patterns and cognitive patterns in the East and West, with special regard to those patterns which are determined by our natural-genetic endownments in contrast to those patterns which are influenced by our cultural ('East-West') influences, and within this context a unique flavour is given to the 'good life' aspects of adapting to this global community.The chapters written by leading neuroscientists, give an overarching picture from the elementary organisational principles of the human brain through the basic perceptual and motor functions of the brain to the highest levels of cognition, including aesthetical or moral judgments, with an eye on what can be called 'good life' in both Eastern and Western cultures. A unique compilation of state-of-the-art overviews of how the human brain is organised and functions in order to achieve high level of social, moral or aesthetic thoughts across cultures.Published in collaboration with Institute Para Limes.

This interesting book is a compilation of the lectures and discussions held during a four-day event — Grand Challenges for Science in the 21st Century — organized by Para Limes at the Nanyang Technological University in Singapore.The elite group of speakers included Nobel laureate Sydney Brenner who called on all scientists to adopt a truth-seeking approach and not be afraid of challenging assumptions. The other panellists were Martin Rees, Astronomer Royal and past President of the Royal Society, the much-cited Terrence Sejnowski from the renowned Salk Institute for Biological Studies, the well-known keynote speaker in economics and complexity sciences Brian Arthur, the former President of the European Research Council Helga Nowotny and the Director of the Parmenides Center for the Conceptual Foundations of Science Eors Szathmary.The lively sessions were moderated by the Danish writer Tor Norretranders. The panel tackled topics from evolution and the origin of the universe to modern technologies and artificial intelligence. The challenges presented during the event are bound to get the reader thinking about what may lie ahead in our future.Published in collaboration with Institute Para Limes.

The 2021 IPCC report made one thing crystal clear — global climate change is here to stay. Time is up. We need to act or climate change will lead to inconceivable suffering by billions of people. Buying Time for Climate Action is the combined narrative of world class experts, all committed to help humanity survive its largely self-induced destructive course. Changing that course requires urgent action. Determining which actions will lead to helpful change requires insights into the stumbling blocks that always emerge when actions aimed at change are planned, resulting in lost time. The experts who contributed to this volume, through their expertise, networks, wisdom and creativity, have largely concluded that the way to cope with the stumbling blocks is to avoid them by focusing on grassroots initiatives. Their narratives and discussions, presented in this book, highlight such thinking.The book is essential reading for anyone committed to help avoid an existential disaster for humanity, and ready to move plans into effective action.

Nanetti outlines a methodology for deploying artificial intelligence and machine learning to enhance historical research. Historical events are the treasure of human experiences, the heritage that societies have used to remain resilient and express their identities. Nanetti has created and developed an interdisciplinary methodology supported by practice-based research that serves as a pathway between historical and computer sciences to design and build computational structures that analyse how societies create narratives about historical events. This consilience pathway aims to make historical memory machine-understandable. It turns history into a computational discipline through an interdisciplinary blend of philological accuracy, historical scholarship, history-based media projects, and computational tools. Nanetti presents the theory behind this methodology from a humanities perspective and discusses its practical application in user interface and experience. An essential read for historians and scholars working in the digital humanities.

Cal Elgot was a very serious and thoughtful researcher, who with great determi nation attempted to find basic explanations for certain mathematical phenomena as the selection of papers in this volume well illustrate. His approach was, for the most part, rather finitist and constructivist, and he was inevitably drawn to studies of the process of computation. It seems to me that his early work on decision problems relating automata and logic, starting with his thesis under Roger Lyndon and continuing with joint work with Biichi, Wright, Copi, Rutledge, Mezei, and then later with Rabin, set the stage for his attack on the theory of computation through the abstract treatment of the notion of a machine. This is also apparent in his joint work with A. Robinson reproduced here and in his joint papers with John Shepherdson. Of course in the light of subsequent work on decision problems by Biichi, Rabin, Shelah, and many, many others, the subject has been placed on a completely different plane from what it was when Elgot left the area. But I feel that his papers, results-and style-were very definitely influential at the time and may well have altered the course of the investigation of these problems. As Sammy Eilenberg explains, the next big influence on Elgot's thinking was category theory, which gave him a way of expressing his ideas in a sharply algebraic manner. The joint book with Eilenberg is one illustration of this influence.

This volume contains the best carefully revised full papers selected from the presentations accepted for the AI '93 and AI '94 Workshop on Evolutionary Computation held in Australia. The 21 papers included cover a wide range of topics in the field of evolutionary computation, from constrained function optimization to combinatorial optimization, from evolutionary programming to genetic programming, from robotic strategy learning to co-evolutionary game strategy learning. The papers reflect important recent progress in the field; more than half of the papers come from overseas.