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An encore to Musings on Human Metamorphoses in which Leary delves deeper into his vision of "human future history." He likens human society to that of insect hives and shows how certain evolved evolutionary agents (mutants) are upsetting hive and causing it to evolve. Eventually we will become the aliens. The book describes the struggle between the forces moving into the future and those attempting to stop change. While most people associate Leary solely with LSD and debauchery, this fascinating discourse has little mention of drugs.
While viruses—the world’s most abundant biological entities—are not technically alive, they invade, replicate, and evolve within living cells. Michael Cordingley goes beyond our familiarity with infections to show how viruses spur evolutionary change in their hosts and shape global ecosystems, from ocean photosynthesis to drug-resistant bacteria.
Samir Okasha offers a philosophical perspective on evolutionary biology in Agents and Goals in Evolution. His focus is on "agential thinking", which is a mode of thought commonly employed in evolutionary biology. The paradigm case of agential thinking involves treating an evolved organism as if it were an agent pursuing a goal, such as survival or reproduction, and treating its phenotypic traits as strategies for achieving that goal, or furthering its biological interests. Agential thinking involves deliberately transposing a set of concepts - goals, interests, strategies - from rational human agents to the biological world more generally. Okasha's enquiry begins by asking whether this is justified. Is agential thinking mere anthropomorphism, or does it play a genuine intellectual role in the science? This central question leads Okasha to a series of further questions. How do we identify the "goal" that evolved organisms will behave as if they are trying to achieve? Can agential thinking ever be applied to groups or genes, rather than to individual organisms? And how does agential thinking relate to the controversies over fitness-maximization in evolutionary biology? In the final third of the book, Okasha examines the relation between the adaptive and the rational. If organisms can validly be treated as agent-like, for the purposes of evolutionary analysis, should we expect that their evolved behaviour will correspond to the behaviour of rational agents as codified in the theory of rational choice? If so, does this mean that the fitness-maximizing paradigm of the evolutionary biologist can be mapped directly to the utility-maximizing paradigm of the rational choice theorist? Okasha explores these questions using an inter-disciplinary methodology that draws on philosophy of science, evolutionary biology and economics.
Advances in the Evolutionary Synthesis of Intelligent Agents by Mukesh Patel Pdf
This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning. Among the first uses of the computer was the development of programs to model perception, reasoning, learning, and evolution. Further developments resulted in computers and programs that exhibit aspects of intelligent behavior. The field of artificial intelligence is based on the premise that thought processes can be computationally modeled. Computational molecular biology brought a similar approach to the study of living systems. In both cases, hypotheses concerning the structure, function, and evolution of cognitive systems (natural as well as synthetic) take the form of computer programs that store, organize, manipulate, and use information. Systems whose information processing structures are fully programmed are difficult to design for all but the simplest applications. Real-world environments call for systems that are able to modify their behavior by changing their information processing structures. Cognitive and information structures and processes, embodied in living systems, display many effective designs for biological intelligent agents. They are also a source of ideas for designing artificial intelligent agents. This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning. The book is organized around four topics: the power of evolution to determine effective solutions to complex tasks, mechanisms to make evolutionary design scalable, the use of evolutionary search in conjunction with local learning algorithms, and the extension of evolutionary search in novel directions.
Genes and the Agents of Life by Robert A. Wilson Pdf
Genes and the Agents of Life undertakes to rethink the place of the individual in the biological sciences, drawing parallels with the cognitive and social sciences. Genes, organisms, and species are all agents of life but how are each of these conceptualized within genetics, developmental biology, evolutionary biology, and systematics? The book includes highly accessible discussions of genetic encoding, species and natural kinds, and pluralism above the levels of selection, drawing on work from across the biological sciences. The book is a companion to the author's Boundaries of the Mind, also available from Cambridge, where the focus is the cognitive sciences. The book will appeal to a broad range of professionals and students in philosophy, biology, and the history of science.
Evolutionary Robotics by Stefano Nolfi,Dario Floreano Pdf
An overview of the basic concepts and methodologies of evolutionary robotics, which views robots as autonomous artificial organisms that develop their own skills in close interaction with the environment and without human intervention.
Evolutionary Multi-Agent Systems by Aleksander Byrski,Marek Kisiel-Dorohinicki Pdf
This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results. Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.
Genes and the Agents of Life by Robert A. Wilson Pdf
What are the agents of life? Central to our conception of the biological world is the idea that it contains various kinds of individuals, including genes, organisms, and species. How we conceive of these agents of life is central to our understanding of the relationship between life and mind, the place of hierarchical thinking in the biological sciences, and pluralistic views of biological agency. Genes and the Agents of Life rethinks the place of the individual in the biological sciences, drawing parallels with the cognitive and social sciences. Genes, organisms, and species are all agents of life, but how are each of these conceptualized within genetics, developmental biology, evolutionary biology, and systematics? The book includes highly accessible discussions of genetic encoding, species and natural kinds, and pluralism above the levels of selection, drawing on work from across the biological sciences. A companion to Boundaries of the Mind, (Cambridge, 2004) where the focus is on the cognitive sciences, this volume will appeal to professionals and students in philosophy, biology, and the history of science. Robert A. Wilson is Professor of Philosophy at the University of Alberta. He is the author of Cartesian Psychology and Physical Minds (Cambridge, 1995).
Agent-Based Evolutionary Search by Ruhul A. Sarker,Tapabrata Ray Pdf
Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the readers with a brief background of agent based evolutionary search, recent developments and studies dealing with various levels of information abstraction and applications of agent based evo- tionary systems. There are 12 peer reviewed chapters in this book authored by d- tinguished researchers who have shared their experience and findings spanning across a wide range of applications.
Evolutionary Computing and Artificial Intelligence by Fernando Koch,Atsushi Yoshikawa,Shihan Wang,Takao Terano Pdf
This Festschrift volume is published in honor of Takao Terano on the occasion of his retirement. Takao Terano is a leading expert in the areas of agent-based modelling, knowledge systems, evolutionary computation, and service science.The contributions in this volume reflect the breadth and impact of his work. The volume contains 12 full papers related to Takao Terano’s research. They deal with various aspects of artificial intelligence, multi-agent systems, collaborative and social computing, social networks, ubiquitous computing.
Cecilia Di Chio,Stefano Cagnoni,Carlos Cotta,Marc Ebner,Aniko Ekart,Anna I. Esparcia-Alcázar,Chi-Keong Goh,Juan J. Merelo,Mike Preuss,Ferrante Neri,Julian Togelius,Georgios N. Yannakakis
Author : Cecilia Di Chio,Stefano Cagnoni,Carlos Cotta,Marc Ebner,Aniko Ekart,Anna I. Esparcia-Alcázar,Chi-Keong Goh,Juan J. Merelo,Mike Preuss,Ferrante Neri,Julian Togelius,Georgios N. Yannakakis Publisher : Springer Science & Business Media Page : 644 pages File Size : 47,6 Mb Release : 2010-05-21 Category : Computers ISBN : 9783642122385
Applications of Evolutionary Computation by Cecilia Di Chio,Stefano Cagnoni,Carlos Cotta,Marc Ebner,Aniko Ekart,Anna I. Esparcia-Alcázar,Chi-Keong Goh,Juan J. Merelo,Mike Preuss,Ferrante Neri,Julian Togelius,Georgios N. Yannakakis Pdf
Evolutionary Computation (EC) techniques are e?cient, nature-inspired me- ods based on the principles of natural evolution and genetics. Due to their - ciency and simple underlying principles, these methods can be used for a diverse rangeofactivitiesincludingproblemsolving,optimization,machinelearningand pattern recognition. A large and continuously increasing number of researchers and professionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and inspire researchers and professionals to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoApplications 2010, which included a range of events on application-oriented aspects of EC. Since 1998, EvoApplications — formerly known as EvoWorkshops— has provided a unique opportunity for EC researchers to meet and discuss application aspects of EC and has been an important link between EC research and its application in a variety of domains. During these 12 years, new events have arisen, some have disappeared,whileothershavematuredtobecomeconferencesoftheirown,such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO in 2007. And from this year, EvoApplications has become a conference as well.
Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization by Chen, Shu-Heng,Kambayashi, Yasushi,Sato, Hiroshi Pdf
"This book compiles numerous ongoing projects and research efforts in the design of agents in light of recent development in neurocognitive science and quantum physics, providing readers with interdisciplinary applications of multi-agents systems, ranging from economics to engineering"--Provided by publisher.
Evolutionary Computation by Kenneth A. De Jong Pdf
This text is an introduction to the field of evolutionary computation. It approaches evolution strategies and genetic programming, as instances of a more general class of evolutionary algorithms.
Applications of Evolutionary Computation by Antonio M. Mora,Giovanni Squillero Pdf
This book constitutes the refereed conference proceedings of the 18th International Conference on the Applications of Evolutionary Computation, EvoApplications 2015, held in Copenhagen, Spain, in April 2015, colocated with the Evo 2015 events EuroGP, EvoCOP, and EvoMUSART. The 72 revised full papers presented were carefully reviewed and selected from 125 submissions. EvoApplications 2015 consisted of the following 13 tracks: EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary computation in robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).
