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A Contemporary Overview of the History and Applications of Artificial Life
2015
Automation Control and Intelligent Systems
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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]
2018
Methodological Investigations in Agent-Based Modelling
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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
2014
Frontiers in Robotics and AI
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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
1991
IEEE Expert
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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]
2018
Methodological Investigations in Agent-Based Modelling
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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
2002
Artificial Life
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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]
2012
Understanding Complex Systems
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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
2010
Husserl Studies
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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]
2018
Zenodo
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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
2015
Acta Biotheoretica
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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
2003
Leonardo: Journal of the International Society for the Arts, Sciences and Technology
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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]
2012
arXiv
pre-print
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2011 pre-print arXiv:1111.5892v1 fatcat:nr5acbmpjrcibiccn2vxrwgjky
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
1995
Adaptive Behavior
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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]
2011
Lecture Notes in Computer Science
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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
2007
Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07
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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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