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- Rodney Brooks (2001). The Relationship Between Matter and Life. Nature 409 (6818):409-411.Researchers in artificial intelligence (AI) Moore’s law states that computational complexity of the models is still far below that and artificial life (Alife) are interested resources for a fixed price roughly double of any living system. New experiments in evo- in understanding the properties of liv- every 18 months. From about 1975 into the lution simulate spatially isolated populations ing organisms so that they can build artificial early 1990s all the gains of Moore’s law went to investigate speciation. Over the past few systems that exhibit these properties for into the changeover from the centralized years, new directions have emerged in AI5, in useful purposes. AI researchers are interest- mainframe to the individual computer on attempts to implement artificial creatures in ed mostly in perception, cognition and your desk, accommodating a vastly simulated or physical environments. generation of action (Box 1), whereas Alife increased number of users. The amount of Often called the behaviour-based focuses on evolution, reproduction, computing power available to the individual approach, this new mode of thought involves morphogenesis and metabolism (Box 2). scientist did not change that much, although the connection of perception to action with Neither of these disciplines is a conventional the price came down by a factor of a little in the way of intervening representa- science; rather, they are a mixture of science thousand. But since the early 1990s, all of tional systems. Rather than relying on and engineering. Despite, or perhaps Moore’s law has gone into increasing the per- search, this approach relies on the correct because of, this hybrid structure, both disci- formance of the workstation itself. short, fast connections being present plines have been very successful and our And both AI and Alife have benefited from between sensory and motor modules. world is full of their products. this shift. Behaviour-based approaches began with Every time we use a computer we use Increased computer power has enabled insect models, but more recently they have algorithms and techniques developed by AI search-based AI to push ahead with been extended to humanoid robots6 — researchers.Reading list | Discuss | Edit | Categorize |My bibliography
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This paper discusses epistemological consequences of embodied AI for Artificial Life models. The importance of robotic systems for ALife lies in the fact that they are not purely formal models and thus have to address issues of semantic adaptation and epistemic autonomy, which means the system's own ability to decide upon the validity of measurements. Epistemic autonomy in artificial systems is a difficult problem that poses foundational questions. The proposal is to concentrate on biological transformations of epistemological questions that have lead to the development of modern ethology. Such an approach has proven to be useful in the design of control systems for behavior-based robots. It leads to a better understanding of modern ontological conceptions as well as a reacknowledgement of finality in the description and design of autonomous systems.
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| | Other links: cogprints.org | Scholar | More options ... The first part of this paper explores the general issues in using Artificial Life techniques to program actual mobile robots. In particular it explores the difficulties inherent in transferring programs evolved in a simulated environment to run on an actual robot. It examines the dual evolution of organism morphology and nervous systems in biology. It proposes techniques to capture some of the search space pruning that dual evolution offers in the domain of robot programming. It explores the relationship between robot morphology and program structure, and techniques for capturing regularities across this mapping.
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| | Scholar | More options ... Artificial life (also known as “ALife”) is a broad, interdisciplinary endeavor that studies life and life-like processes through simulation and synthesis. The goals of this activity include modelling and even creating life and life-like systems, as well as developing practical applications using intuitions and methods taken from living systems. Artificial life both illuminates traditional philosophical questions and raises new philosophical questions. Since both artificial life and philosophy investigate the essential nature of certain fundamental aspects of reality like life and adaptation, artificial life offers philosophy a new perspective on these phenomena. This chapter provides an introduction to current research in artificial life and explains its philosophical implications.
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| | Scholar | More options ... This article concerns the claim that it is possible to create living organisms, not merely models that represent organisms, simply by programming computers ("virtual" strong alife). I ask what sort of things these computer-generated organisms are supposed to be (where are they, and what are they made of?). I consider four possible answers to this question: (a) The organisms are abstract complexes of pure information; (b) they are material objects made of bits of computer hardware; (c) they are physical processes going on inside the computer; and (d) they are denizens of an entire artificial world, different from our own, that the programmer creates. I argue that (a) could not be right, that (c) collapses into (b), and that (d) would make strong alife either absurd or uninteresting. Thus, "virtual" strong alife amounts to the claim that, by programming a computer, one can literally bring bits of its hardware to life.
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| | Other links: eprints.whiterose.ac.uk mitpress.mit.edu | Scholar | More options ... What is artificial life? Much has been said about this interesting collection of efforts to artificially simulate and synthesize lifelike behavior and processes, yet we are far from having a robust philosophical understanding of just what Alifers are doing and why it ought to interest philosophers of science, and philosophers of biology in particular. In this paper, I first provide three introductory examples from the particular subset of artificial life I focus on, known as ‘soft Alife’ (s-Alife), and follow up with a more in-depth review of the Avida program, which serves as my case study of s-Alife. Next, I review three well-known accounts of thought experiments, and then offer my own synthesized account, to make the argument that s-Alife functions as thought experimentation in biology. I draw a comparison between the methodology of the thought-experimental world that yields real-world results, and the s-Alife research that informs our understanding of natural life. I conclude that the insights provided by s-Alife research have the potential to fundamentally alter our understanding of the nature of organic life and thus deserve the attention of both philosophers and natural scientists.
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| | Scholar | At my library | More options ... In this paper I provide an epistemological context for Artificial Life projects. Later on, the insights which such projects will exhibit may be used as a general direction for further Artificial Life implementations. The purpose of such a model is to demonstrate by way of simulation how higher cognitive structures may emerge from building invariants by simple sensorimotor beings. By using the bottom-up methodology of Artificial Life, it is hoped to overcome problems that arise from dealing with complex systems, such as the phenomenon of cognition. The research will lead to both epistemological and technical implications.
The proposed ALife model is intended to point out the usefulness of an interdisciplinary approach including methodological approaches from disciplines such as Artificial Intelligence, Cognitive Science, Theoretical Biology, and Artificial Life. I try to put them in one single context. The epistemological background which is necessary for this purpose comes from the ideas developed in both epistemological and psychological Constructivism.
The model differs from other ALife approaches— and is somewhat radical in this sense—as it tries to start on the lowest possible level, i.e. avoids several a priori assumptions and anthropocentric ascriptions. Due to this characterization, the project may be alternatively viewed as testing the complementary relationship between epistemology and methodology.
The proposed ALife model is intended to point out the usefulness of an interdisciplinary approach including methodological approaches from disciplines such as Artificial Intelligence, Cognitive Science, Theoretical Biology, and Artificial Life. I try to put them in one single context. The epistemological background which is necessary for this purpose comes from the ideas developed in both epistemological and psychological Constructivism.
The model differs from other ALife approaches— and is somewhat radical in this sense—as it tries to start on the lowest possible level, i.e. avoids several a priori assumptions and anthropocentric ascriptions. Due to this characterization, the project may be alternatively viewed as testing the complementary relationship between epistemology and methodology.
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| | Scholar | At my library | More options ... Artificial life (ALife) is the attempt to create artificial instances of life in a variety of media, but primarily within the digital computer. As such, the field brings together computationally-minded biologists and biologically-minded computer scientists. I argue that this new field is filled with interesting philosophical issues. However, there is a dearth of philosophers actively conducting research in this area. I discuss two books on the new field: Margaret A. Boden's The philosophy of artificial life and Christopher G. Langton's Artificial life: an overview. They cover three areas of philosophical interest: the definition of life, the relationship between life and mind, and the possibility of creating life within a computational environment. This discussion allows me to critique past work in the philosophy of ALife that tends to see the field as a proving ground for traditional arguments from the philosophy of artificial intelligence. Instead, I suggest, what is interesting about ALife is how it differs from artificial intelligence and that the most interesting philosophical issues in the area are those derived from biology, not psychology. I recommend that these two books taken together constitute an interesting introduction to ALife and the wealth of philosophical issues found therein.
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| | Other links: informaworld.com tandfonline.com dx.doi.org | Scholar | At my library | More options ... Contemporary artificial life (also known as “ALife”) is an interdisciplinary study of life and life-like processes. Its two most important qualities are that it focuses on the essential rather than the contingent features of living systems and that it attempts to understand living systems by artificially synthesizing extremely simple forms of them. These two qualities are connected. By synthesizing simple systems that are very life-like and yet very unfamiliar, artificial life constructively explores the boundaries of what is possible for life. At the moment, artificial life uses three different kinds of synthetic methods. “Soft” artificial life creates computer simulations or other purely digital constructions that exhibit life-like behavior. “Hard” artificial life produces hardware implementations of life-like systems. “Wet” artifi- cial life involves the creation of life-like systems in a laboratory using biochemical materials.
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| | Other links: people.reed.edu | Scholar | More options ... Artificial Life (ALife) has two goals. One attempts to describe fundamental qualities of living systems through agent based computer models. And the second studies whether or not we can artificially create living things in computational mediums that can be realized either, virtually in software, or through biotechnology. The study of ALife has recently branched into two further subdivisions, one is “dry” ALife, which is the study of living systems “in silico” through the use of computer simulations, and the other is “wet” ALife that uses biological material to realize what has only been simulated on computers, effectively wet ALife uses biological material as a kind of computer. This is challenging to the field of computer ethics as it points towards a future in which computer and bioethics might have shared concerns. The emerging studies into wet ALife are likely to provide strong empirical evidence for ALife’s most challenging hypothesis: that life is a certain set of computable functions that can be duplicated in any medium. I believe this will propel ALife into the midst of the mother of all cultural battles that has been gathering around the emergence of biotechnology. Philosophers need to pay close attention to this debate and can serve a vital role in clarifying and resolving the dispute. But even if ALife is merely a computer modeling technique that sheds light on living systems, it still has a number of significant ethical implications such as its use in the modeling of moral and ethical systems, as well as in the creation of artificial moral agents.
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| | Scholar | At my library | More options ... Cyberfeminism and Artificial Life examines construction, manipulation and re-definition of life in contemporary technoscientific culture. It takes a critical political view of the concept of life as information, tracing this through the new biology and the changing discipline of artificial life and its manifestation in art, language, literature, commerce and entertainment. From cloning to computer games, and incorporating an analysis of hardware, software and 'wetware', Sarah Kember demonstrates how this relatively marginal field connects with, and connects up global networks of information systems. As well as offering suggestions for the evolution of [cyber]feminism in Alife environments, the author identifies the emergence of posthumanism; an ethics of the posthuman subject mobilized in the tension between cold war and post-cold war politics, psychological and biological machines, centralized and de-centralized control, top-down and bottom-up processing, autonomous and autopoietic organisms, cloning and transgenesis, species-self and other species. Ultimately, this book aims to re-focus concern on the ethics rather than on the 'nature' of life-as-it-could-be.
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| | Scholar | At my library | More options ... Discussion of Rodney Brooks, The relationship between matter and life
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