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• The History and Future of Stiquito, a Hexapod Insectoid Robot.- Learning Legged Locomotion.- Salamandra Robotica: a Biologically Inspired Amphibious Robot that Swims and Walks.- Multi-Locomotion Robot: Novel Concept, Mechanism and Control of Bio-Inspired Robot.- Self-Regulatory Hardware: Evolutionary Design for Mechanical Passivity on a Pseudo Passive Dynamic Walker.- Perception for Action in Roving Robots: a Dynamical System Approach.- Nature-Inspired Single-Electron Computers.- Tribolon: Water Based Self-Assembly Robots.- Artificial Symbiosis in Ecobots.- The Phi-Bot: A Robot Controlled by a Slime Mould.- Reaction-Diffusion Controllers for Robots.- Index.
• (source: Nielsen Book Data)

Hopping, climbing and swimming robots, nano-size neural networks, motorless walkers, slime mould and chemical brains - "Artificial Life Models in Hardware" offers unique designs and prototypes of life-like creatures in conventional hardware and hybrid bio-silicon systems. Ideas and implementations of living phenomena in non-living substrates cast a colorful picture of state-of-art advances in hardware models of artificial life.
(source: Nielsen Book Data)

• Breeders
• Cybernatures
• Hardware
• Abstract Machines
• Theorizing A-Life, Art, and Culture
• Emergence.

Artificial life, or a-life, is an interdisciplinary science focused on artificial systems that mimic the properties of living systems. In the 1990s, new media artists began appropriating and adapting the techniques of a-life science to create a-life art; Mitchell Whitelaw's Metacreation is the first detailed critical account of this new field of creative practice. A-life art responds to the increasing technologisation of living matter by creating works that seem to mutate, evolve, and respond with a life of their own. Pursuing a-life's promise of emergence, these artists produce not only artworks, but also generative and creative processes: here creation becomes metacreation. Whitelaw presents a-life art practice through four of its characteristic techniques and tendencies. "Breeders" use artificial evolution to generate images and forms, in the process altering the artist's creative agency. "Cybernatures" form complex, interactive systems, drawing the audience into artificial ecosystems. Other artists work in "Hardware, " adapting Rodney Brooks's "bottom-up" robotics to create embodied autonomous agencies. The "Abstract Machines" of a-life art de-emphasise the biological analogy, using techniques such as cellular automata to investigate pattern, form and morphogenesis. In the book's concluding chapters Whitelaw surveys the theoretical discourses around a-life art, before finally examining emergence, a concept central to a-life, and key, it is argued, to a-life art.
(source: Nielsen Book Data)

• Preface; Introduction; I FROM CYBERNETICS TO MACHINIC PHILOSOPHY; 1 Cybernetics and the New Complexity of Machines; 2 The In-Mixing of Machines: Cybernetics and Psychoanalysis; 3 Machinic Philosophy: Assemblages, Information, Chaotic Flow; II MACHINIC LIFE; 4 Vital Cells: Cellular Automata, Artificial Life, Autopoiesis; 5 Digital Evolution and the Emergence of Complexity; III MACHINIC INTELLIGENCE; 6 The Decoded Couple: Artificial Intelligence and Cognitive Science; 7 The New AI: Behavior-Based Robotics, Autonomous Agents, and Artificial Evolution.

• 8 Learning from Neuroscience: New Prospects for Building Intelligent MachinesNotes; Index.

In The Allure of Machinic Life, John Johnston examines new forms of nascent life that emerge through technical interactions within human-constructed environments -- "machinic life" -- in the sciences of cybernetics, artificial life, and artificial intelligence. With the development of such research initiatives as the evolution of digital organisms, computer immune systems, artificial protocells, evolutionary robotics, and swarm systems, Johnston argues, machinic life has achieved a complexity and autonomy worthy of study in its own right. Drawing on the publications of scientists as well as a range of work in contemporary philosophy and cultural theory, but always with the primary focus on the "objects at hand" -- the machines, programs, and processes that constitute machinic life -- Johnston shows how they come about, how they operate, and how they are already changing. This understanding is a necessary first step, he further argues, that must precede speculation about the meaning and cultural implications of these new forms of life. Developing the concept of the "computational assemblage" (a machine and its associated discourse) as a framework to identify both resemblances and differences in form and function, Johnston offers a conceptual history of each of the three sciences. He considers the new theory of machines proposed by cybernetics from several perspectives, including Lacanian psychoanalysis and "machinic philosophy." He examines the history of the new science of artificial life and its relation to theories of evolution, emergence, and complex adaptive systems (as illustrated by a series of experiments carried out on various software platforms). He describes the history of artificial intelligence as a series of unfolding conceptual conflicts -- decodings and recodings -- leading to a "new AI" that is strongly influenced by artificial life. Finally, in examining the role played by neuroscience in several contemporary research initiatives, he shows how further success in the building of intelligent machines will most likely result from progress in our understanding of how the human brain actually works.
(source: Nielsen Book Data)

• Alife art
• Game theory
• Evolution
• Complex systems
• Biological systems
• Social modelling
• Swarm intelligence
• Heuristics.

This book constitutes the refereed proceedings of the 4th Australian Conference on Artificial Life, ACAL 2009, held in Melbourne, Australia, in December 2009. The 27 revised full papers presented were carefully reviewed and selected from 60 submissions. "Research in Alife" covers the main areas of biological behaviour as a metaphor for computational models, computational models that reproduce/duplicate a biological behaviour, and computational models to solve biological problems. Thus, "Alife" features analyses and understanding of life and nature and helps modeling biological systems or solving biological problems. The papers are organized in topical sections on alife art, game theory, evolution, complex systems, biological systems, social modelling, swarm intelligence, and heuristics.
(source: Nielsen Book Data)

• Diffusion of Shapes (R S Shaw & N H Packard)
• FDC-Based Particle Swarm Optimization (A Azzini et al.)
• Predictive Neural Networks in the Design of Experiments (D De March et al.)
• Prefrontal Cortex and Action Sequences: A Review on Neural Computational Models (I Gaudiello et al.)
• Bio-Inspired ICT for Evolutionary Emotional Intelligence (M Villamira & P Cipresso)
• Cooperation in Corvids: A Simulative Study with Evolved Robots (O Miglino et al.)
• Distributed Processes in a Agent-Based Model of Innovation (L Ansaloni et al.)
• Imaginary or Actual Artificial Worlds Using a New Tool in the ABM Perspective (P Terna)
• Dynamics of Interconnected Boolean Networks with Scale-Free Topology (C Damiani et al.)
• Semi-Synthetical Minimal Cells (P Stano & P L Luisi)
• and Other Papers.
• (source: Nielsen Book Data)

The Italian community in Artificial Life and Evolutionary computation has grown remarkably in recent years, and this book is the first broad collection of its major interests and achievements (including contributions from foreign countries). The contributions in Artificial Life as well as in Evolutionary Computation allow one to see the deep connections between the two fields. The topics addressed are extremely relevant for present day research in Artificial Life and in Evolutionary Computation, which include important contributions from very well-known researchers. The volume provides a very broad picture of the Italian activities in this field.
(source: Nielsen Book Data)

• Towards an Assistive Social Robot Interacting with Human Patient to Establish a Mutual and Effective Support.- Selecting for Positive Responses to Knock outs in Boolean Networks.- Avalanches of Perturbations in Modular Gene Regulatory Networks.- The Effects of a Simplified Model of Chromatin Dynamics on Attractors Robustness in Random Boolean Networks with Self-loops: an Experimental Study.- A Memetic Approach for the Orienteering Problem.- The Detection of Dynamical Organization in Cancer Evolution Models.- The Simulation of Noise Impact on the Dynamics of a Discrete Chaotic Map.- Exploiting Distributed Discrete-Event Simulation Techniques for Parallel Execution of Cellular Automata.- A Relevance Index-based Method for Improved Detection of Malicious Users in Social Networks.- An Analysis of Cooperative Coevolutionary Differential Evolution as Neural Networks Optimizer.- Design and Evaluation of a Heuristic Optimization Tool Based on Evolutionary Grammars Using PSoCs.- How Word Choice Affects Cognitive Impairment Detection by Handwriting Analysis: a Preliminary Study.- Modeling the Coordination of a Multiple Robots Using Nature Inspired Approaches.- Nestedness Temperature in the Agent-Artifact Space: Emergence of Hierarchical Order in the 2000-2014 Photonics Techno-Economic Complex System.- Towards Programmable Chemistries.- Studying and Simulating the Three-dimensional Arrangement of Droplets.- Investigating Three-dimensional Arrangements of Droplets.
• (source: Nielsen Book Data)

This book constitutes the revised selected papers of the 14th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2019, held in Rende, Italy, in September 2019. The 13 full papers and 4 short paper presented were thoroughly reviewed and selected from 31 submissions. They are focused on the topics of information systems, design and analysis of algorithms, artificial intelligence, machine learning, cognitive science, modeling and simulation, collaborative and social computing, parallel computing, distributed computing. The chapter "Nestedness Temperature in the Agent-Artifact Space: Emergence of Hierarchical Order in the 2000-2014 Photonics Techno-Economic Complex System" is available open access under a CC BY 4.0 license.
(source: Nielsen Book Data)

• Artificial life as a tool for biological inquiry, Charles Taylor and David Jefferson
• cooperation and community structure in artificial ecosystems, Kristian Lindgren and Mats G. Nordahl
• extended molecular evolutionary biology - artificial life bridging the gap between chemistry and biology, P. Schuster
• visual models of morphogenesis, Przemyslaw Prusinkiewicz
• the artificial life roots of artificial intelligence, Luc Steels
• toward synthesizing artificial neural netwroks that exhibit cooperative intelligent behaviour - some open issues in artificial life, Michael G. Dyer
• modelling adaptive autonomous agents, Pattie Maes
• chaos as a source of complexity and diversity in evolution, Kunihiko Kaneko
• an evolutionary approach to synthetic biology - Zen and the art of creating life, Thomas S. Ray
• beyond digital naturalism, Walter Fontana et al
• learning about life, Mitchel Resnick
• books on artificial life and related topics, David G. Stork
• computer viruses as artificial life, Eugene H. Spafford
• genetic algorithms and artificial life, Melanie Mitchell and Stephanie Forrest
• artificial life as philosophy, Daniel Dennett
• levels of functional equivalence in reverse bioengineering, Stevan Harnad
• why do we need artificial life?, Eric W. Bonabeau and Guy Theraulaz.
• (source: Nielsen Book Data)

Artificial life, a field that seeks to increase the role of synthesis in the study of biological phenomena, has great potential, both for unlocking the secrets of life and for raising a host of disturbing issues-scientific and technical as well as philosophical and ethical. This book brings together a series of overview articles that appeared in the first three issues of the groundbreaking journal Artificial Life, along with a new introduction by Christopher Langton, Editor-in-Chief of Artificial Life, founder of the discipline, and Director of the Artificial Life Program at the Santa Fe Institute.
(source: Nielsen Book Data)

• Artificial life as a tool for biological inquiry, Charles Taylor and David Jefferson
• cooperation and community structure in artificial ecosystems, Kristian Lindgren and Mats G. Nordahl
• extended molecular evolutionary biology - artificial life bridging the gap between chemistry and biology, P. Schuster
• visual models of morphogenesis, Przemyslaw Prusinkiewicz
• the artificial life roots of artificial intelligence, Luc Steels
• toward synthesizing artificial neural netwroks that exhibit cooperative intelligent behaviour - some open issues in artificial life, Michael G. Dyer
• modelling adaptive autonomous agents, Pattie Maes
• chaos as a source of complexity and diversity in evolution, Kunihiko Kaneko
• an evolutionary approach to synthetic biology - Zen and the art of creating life, Thomas S. Ray
• beyond digital naturalism, Walter Fontana et al
• learning about life, Mitchel Resnick
• books on artificial life and related topics, David G. Stork
• computer viruses as artificial life, Eugene H. Spafford
• genetic algorithms and artificial life, Melanie Mitchell and Stephanie Forrest
• artificial life as philosophy, Daniel Dennett
• levels of functional equivalence in reverse bioengineering, Stevan Harnad
• why do we need artificial life?, Eric W. Bonabeau and Guy Theraulaz.
• (source: Nielsen Book Data)

Artificial life, a field that seeks to increase the role of synthesis in the study of biological phenomena, has great potential, both for unlocking the secrets of life and for raising a host of disturbing issues-scientific and technical as well as philosophical and ethical. This book brings together a series of overview articles that appeared in the first three issues of the groundbreaking journal Artificial Life, along with a new introduction by Christopher Langton, Editor-in-Chief of Artificial Life, founder of the discipline, and Director of the Artificial Life Program at the Santa Fe Institute.
(source: Nielsen Book Data)

• Evolutionary computation
• Bioinspired algorithms
• Genetic algorithms, bioinformatics and computational biology
• Modeling and simulation of artificial and biological systems
• Complex systems, synthetic and systems biology
• Systems chemistry.

This book constitutes the revised selected papers of the 10th Italian Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2015, held at Bari, Italy, in September 2015. The 18 papers presented have been thoroughly reviewed and selected from 45 submissions. They cover the following topics: evolutionary computation, bioinspired algorithms, genetic algorithms, bioinformatics and computational biology, modeling and simulation of artificial and biological systems, complex systems, synthetic and systems biology, systems chemistry.

• From the contents Part I Virtual Environments
• Avida: A Software Platform for Research in Computational Evolutionary Biology
• Foundations of and Recent Advances in Artificial Life Modeling with Repast 3 and Repast Simphony
• Sodarace: Continuing Adventures in Artificial Life
• 3D Multi-Agent Simulations in the Breve Simulation Environment
• Framsticks: Creating and Understanding Complexity of Life
• Part II Lattice Worlds
• Starlogo TNG: Making Agent Based Modeling Accessible and Appealing for Novices
• From Artificial Life to In Silico Medicine: Netlogo as a Means of Translational Knowledge Representation in Biomedical Research
• Discrete Dynamics Lab: Tools for Investigating Cellular Automata and Discrete Dynamical Networks
• Einstein: A Multiagent-based Model of Combat
• Part III Artificial Chemistries
• From Artificial Chemistries to Systems Biology: Software for Chemical Organization Theory
• Spatially Resolved Artificial Chemistry
• Part IV Artificial Life Arts.

Artificial Life Models in Software provides an introduction and guide to modern software tools for modeling and simulating life-like phenomena, written by those who personally design and develop software, hardware, and art installations in artificial life, simulated complex systems and virtual worlds. This timely volume offers a nearly exhaustive overview and original analysis of major non-profit software packages that are actively developed and supported by experts in artificial life and software design. The carefully selected topics include: simulation and evolution of real and artificial life forms, natural and artificial morphogenesis, self-organization, models of communication and social behaviors, emergent collective behaviors and swarm intelligence, agent-based simulations, autonomous and evolutionary robotics, adaptive, complex and biologically inspired ecosystems, artificial chemistries, creative computer art. The models of life presented here are essential components in undergraduate and post-graduate courses in complex adaptive systems, multi-agent systems, collective robotics and nature-inspired computing. Readers interested in artificial life, evolutionary biology, simulation, cybernetics, computer graphics and animation, neuroscience, cognitive science, and philosophy will find this monograph a valuable guide and an excellent resource for supplementary reading.

• Heuristics I.- Alternative Solution Representations for the Job Shop Scheduling Problem in Ant Colony Optimisation.- Analyzing the Role of "Smart" Start Points in Coarse Search-Greedy Search.- Concealed Contributors to Result Quality - The Search Process of Ant Colony System.- Ants Guide Future Pilots.- Complex Systems I.- Information Transfer by Particles in Cellular Automata.- An Artificial Development Model for Cell Pattern Generation.- Rounds Effect in Evolutionary Games.- Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction.- An Evolutionary Benefit from Misperception in Foraging Behaviour.- Simulated Evolution of Discourse with Coupled Recurrent Networks.- How Different Hierarchical Relationships Impact Evolution.- A Dual Phase Evolution Model of Adaptive Radiation in Landscapes.- Biological Systems I.- Directed Evolution of an Artificial Cell Lineage.- An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity.- Complement-Based Self-Replicated, Self-Assembled Systems (CBSRSAS).- Self-maintained Movements of Droplets with Convection Flow.- Structural Circuits and Attractors in Kauffman Networks.- The Effects of Learning on the Roles of Chance, History and Adaptation in Evolving Neural Networks.- Unsupervised Acoustic Classification of Bird Species Using Hierarchical Self-organizing Maps.- The Prisoner's Dilemma with Image Scoring on Networks: How Does a Player's Strategy Depend on Its Place in the Social Network?.- Heuristics II.- Population-Based Ant Colony Optimisation for Multi-objective Function Optimisation.- Mechanisms for Evolutionary Reincarnation.- An Evolutionary Algorithm with Spatially Distributed Surrogates for Multiobjective Optimization.- Examining Dissimilarity Scaling in Ant Colony Approaches to Data Clustering.- Complex Systems II.- A Framework for the Co-evolution of Genes, Proteins and a Genetic Code Within an Artificial Chemistry Reaction Set.- In-Formation Flocking: An Approach to Data Visualization Using Multi-agent Formation Behavior.- A Principled Approach to Swarm-Based Wall-Building.- Pattern Extraction Improves Automata-Based Syntax Analysis in Songbirds.- Heuristics III.- A Modified Strategy for the Constriction Factor in Particle Swarm Optimization.- A Differential Evolution Variant of NSGA II for Real World Multiobjective Optimization.- Investigating a Hybrid Metaheuristic for Job Shop Rescheduling.- Enhancements to Extremal Optimisation for Generalised Assignment.- Biological Systems II.- Identification of Marker Genes Discriminating the Pathological Stages in Ovarian Carcinoma by Using Support Vector Machine and Systems Biology.- Ancestral DNA Sequence Reconstruction Using Recursive Genetic Algorithms.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Third Australian Conference on Artificial Life, ACAL 2007, held in Gold Coast, Australia, in December 2007. The 34 revised full papers presented were carefully reviewed and selected from 70 submissions. Research in Alife covers the main areas of biological behaviour as a metaphor for computational models, computational models that reproduce/duplicate a biological behaviour, and computational models to solve biological problems.
(source: Nielsen Book Data)