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A Contemporary Overview of the History and Applications of Artificial Life

Jamaluddin Mir
2015 Automation Control and Intelligent Systems  
Artificial life is focused on developing an understanding of the fundamental doctrines of life by either creating lifelike characteristics in simulations created by computers or by actual physical implementations  ...  The study of man-made systems which demonstrate certain behaviors that are found to be distinctive characters of natural living systems, found in nature, is called Artificial Life.  ...  Adaptation Any change in an agent or within a system in reaction to the environment which will consequently help that particular system or agent to achieve their goal is called adaptation [15] .  ... 
doi:10.11648/j.acis.20150301.12 fatcat:bogp3nac5zfzbgfqct5p46crne

Making the Artificial Real [chapter]

Eric Silverman
2018 Methodological Investigations in Agent-Based Modelling  
While strong Alife attempts to create real organisms in a digital substrate, the weak strand of Alife instead attempts to emulate certain aspects of life (such as adaptability, evolution, and group behaviours  ...  This PSS Hypothesis handily removes the gap between the living systems which provide the inspiration for Alife and the systems produced by an Alife simulation.  ... 
doi:10.1007/978-3-319-72408-9_3 fatcat:5tpbxyqp6nahpjihc3zzjg77mq

The Past, Present, and Future of Artificial Life

Wendy Aguilar, Guillermo Santamaría-Bonfil, Tom Froese, Carlos Gershenson
2014 Frontiers in Robotics and AI  
For millennia people have wondered what makes the living different from the non-living.  ...  Beginning in the mid-1980s, artificial life has studied living systems using a synthetic approach: build life in order to understand it better, be it by means of software, hardware, or wetware.  ...  ADAPTATION Adaptation can be defined as "a change in an agent or system as a response to a state of its environment that will help the agent or system to fulfill its goals" (Gershenson, 2007) .  ... 
doi:10.3389/frobt.2014.00008 fatcat:emlu6em64ben7pq5rtsfkp6t4m

Artificial life: a constructive lower bound for artificial intelligence

R.K. Belew
1991 IEEE Expert  
Like AI, ALife is still probably best defined by extension; for example, in terms of all the research projects reported at ALife-1 and -2.  ...  (See pp. 53-59 for a report on ALife-2.) Both AI and ALife address ancient, ambitious questions. Both depend on the computer as the tool to provide answers.  ...  Thanks to Jordon Pollack for useful conversations on the role of ALife in AI, and to Gary Cottrell and the Cognitive Computer Science Research Group of the Computer Science Department at the University  ... 
doi:10.1109/64.73812 fatcat:i6cpzr6mjra7xhnsto5jsj6v3q

Simulation and Artificial Life [chapter]

Eric Silverman
2018 Methodological Investigations in Agent-Based Modelling  
This, in turn, will prepare us for an in-depth discussion of the field of Artificial Life in the following chapter, which will provide a backdrop for the discussion of general issues in biological modelling  ...  Before beginning this extensive analysis of agent-based modelling, the philosophical and methodological background of simulation science must be discussed.  ...  biological substrate, then an ALife simulation can easily achieve life (given an appropriate definition of such) regardless of its inherent artificiality.  ... 
doi:10.1007/978-3-319-72408-9_2 fatcat:ramfexws4na65lrrdaemeyhexi

Natural Language From Artificial Life

Simon Kirby
2002 Artificial Life  
In this view of the value of arti cial life, human language is an ideal topic for exploration using ALife models. Consider a few of the things we know about human language: 1.  ...  Computational simulation, informed by theoretical linguistics, is an appropriate response to the challenge of explaining real linguistic data in terms of the processes that underpin human language. 1 At  ...  Of course, this in turn poses a problem for the ALife researcher proposing an explanation for language origins. Exactly what are we trying to explain?  ... 
doi:10.1162/106454602320184248 pmid:12171637 fatcat:uw2lcdnra5fhnihnj3ylkkb6y4

Morphogenetic Engineering: Reconciling Self-Organization and Architecture [chapter]

René Doursat, Hiroki Sayama, Olivier Michel
2012 Understanding Complex Systems  
This chapter is an extended version of Refs. [16, 17] . R. Doursat (B)  ...  of self-organization are often underappreciated in engineering methodologies.  ...  Alife is therefore a bottom-up synthetic attempt to recreate biological phenomena in order to produce adaptive and intelligent systems.  ... 
doi:10.1007/978-3-642-33902-8_1 fatcat:z37vhhqfnnahrhfs4m73l7q7gu

Phenomenology and Artificial Life: Toward a Technological Supplementation of Phenomenological Methodology

Tom Froese, Shaun Gallagher
2010 Husserl Studies  
means of simulation: 'life as it could be'.  ...  We argue that this kind of research in the field of artificial life, namely the specification, implementation and evaluation of artificial systems, is akin to Husserl's method of free imaginative variation  ...  Froese wishes to thank John Stewart for a detailed discussion of an earlier version of this manuscript, and Christine Aicardi for her helpful comments on the concept of simulation in Alife.  ... 
doi:10.1007/s10743-010-9071-9 fatcat:zabbmabo5venbe6af7bbfhu7my

Biologically-Inspired And Agent-Based Algorithms For Music [chapter]

Alice Eldridge, Oliver Bown
2018 Zenodo  
We close by reviewing themes for future work in this area: autonomy and agency, and the poetics of biologically-inspired algorithms.  ...  These include evolutionary algorithms, agent-based modelling and self-organising systems, adaptive behaviour and interactive performance systems, and ecosystemic approaches to composition and computational  ...  In Proceedings of the Alife VII, Portland, Oregon.  ... 
doi:10.5281/zenodo.1194152 fatcat:rdx72keacnhp3h6eik45exodki

Programming the Emergence in Morphogenetically Architected Complex Systems

Franck Varenne, Pierre Chaigneau, Jean Petitot, René Doursat
2015 Acta Biotheoretica  
To demonstrate our claim, we first show that among all the self-organized systems studied in the field of Artificial Life, the specificity of MACS essentially lies in the close relation between their emergent  ...  Third, since the notion of weak emergence is based on the possibility of simulation, whether computational or mechanistic via machines, we see MACS as good candidates to help design artificial self-architected  ...  and adaptivity unmatched in classical engineering.  ... 
doi:10.1007/s10441-015-9262-z pmid:26024971 fatcat:whuib62ntnenflkpj5c657uoo4

Towards Epistemically Autonomous Robots: Exploiting the Potential of Physical Systems

Jon Bird, Paul Layzell, Andy Webster, Phil Husbands
2003 Leonardo: Journal of the International Society for the Arts, Sciences and Technology  
They use Peter Cariani's taxonomy of adaptive robotic systems as a framework for comparing the capabilities of systems that interact with their environments.  ...  The emergent behavior in both systems is only possible because many conventional engineering constraints were relaxed during their construction.  ...  Motivating this vision is what Mitchell Whitelaw has identified as an essential driving force in contemporary ALife art: the "will to escape, the desire for emergence" [2] .  ... 
doi:10.1162/002409403321554161 fatcat:ux4lop2a3ras3irzba5ss66a4a

Evolving Chart Pattern Sensitive Neural Network Based Forex Trading Agents [article]

Gene I. Sher
2012 arXiv   pre-print
Though machine learning has been applied to the foreign exchange market for algorithmic trading for quiet some time now, and neural networks(NN) have been shown to yield positive results, in most modern  ...  The TWEANN algorithm I will use in this paper to evolve these currency trading agents is the memetic algorithm based TWEANN system called Deus Ex Neural Network (DXNN) platform.  ...  The Forex simulator used by the NN based agents takes spread into account. Fig-4.3 An example of a DXNN's substrate encoded neural network system evolved during ALife simulation in [1].  ... 
arXiv:1111.5892v2 fatcat:6skjormzevhf7phup37d3d375u

Designing and Understanding Adaptive Group Behavior

Maja J. Matarić
1995 Adaptive Behavior  
This paper proposes the concept of basis behaviors as ubiquitous general building blocks for synthesizing arti cial group behavior in multi{agent systems, and for analyzing group behavior in nature.  ...  We demonstrate the concept through examples implemented both in simulation and on a group of physical mobile robots.  ...  The work is being continued in the Interaction Laboratory at Brandeis University Volen Center for Complex Systems.  ... 
doi:10.1177/105971239500400104 fatcat:fuuytrbx3bgsvofinypxg7osfm

Molecular Microprograms [chapter]

Simon Hickinbotham, Edward Clark, Susan Stepney, Tim Clarke, Adam Nellis, Mungo Pay, Peter Young
2011 Lecture Notes in Computer Science  
Bacteria offer an evolutionary model in which rich interactions between phenotype and genotype lead to compact genomes with efficient metabolic pathways.  ...  These systems can be simulated by stochastic chemistry models, but there is currently no scope for open-ended evolution of the molecular species that make up the models.  ...  It may be possible to determine the "error catastrophe" levels for this system, and use this limit to derive appropriate mutation rates.  ... 
doi:10.1007/978-3-642-21283-3_37 fatcat:62hurd4d3vfwhbcrp2zmfserdi

A simulation of evolved autotrophic reproduction

Correy A. Kowall, Brian J. Krent
2007 Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07  
In this experiment we evolve reproductive behaviors for a simulated vehicle. Future work will employ the resulting behaviors to populate a simulated ecosystem.  ...  Also, we would like to thank Alex Anagnos, Jeffrey Horn, Katie Tresedder, Dean Hougen, Jon Klein, Paul Cornwell, Charles Talhelm, and the Northern Evolutionary Robotics Laboratory in the Department of  ...  Tom Ray's Tierra system simulates an ecosystem by using a limited amount of memory and process cycles as a competitive substrate for the selfreplication of assembly code lifeforms.  ... 
doi:10.1145/1276958.1277028 dblp:conf/gecco/KowallK07 fatcat:qwsy63mqqbdsnloo2n2thn7bqu
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