Cogprints

Artificial Life: Synthetic Versus Virtual

Harnad, Stevan (1993) Artificial Life: Synthetic Versus Virtual. [Journal (Paginated)]

Full text available as:

[img] HTML
39Kb

Abstract

Artificial life can take two forms: synthetic and virtual. In principle, the materials and properties of synthetic living systems could differ radically from those of natural living systems yet still resemble them enough to be really alive if they are grounded in the relevant causal interactions with the real world. Virtual (purely computational) "living" systems, in contrast, are just ungrounded symbol systems that are systematically interpretable as if they were alive; in reality they are no more alive than a virtual furnace is hot. Virtual systems are better viewed as "symbolic oracles" that can be used (interpreted) to predict and explain real systems, but not to instantiate them. The vitalistic overinterpretation of virtual life is related to the animistic overinterpretation of virtual minds and is probably based on an implicit (and possibly erroneous) intuition that living things have actual or potential mental lives.

Item Type:Journal (Paginated)
Keywords:Artificial life, synthetic life, virtual life, mind/body problem, Searle's Chinese room, computationalism, symbol grounding, Turing test
Subjects:Computer Science > Artificial Intelligence
Computer Science > Robotics
Philosophy > Philosophy of Mind
ID Code:1587
Deposited By: Harnad, Stevan
Deposited On:18 Jun 2001
Last Modified:11 Mar 2011 08:54

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

Churchland, P. M. (1984) Matter and consciousness: a contemporary introduction to the philosophy of mind Cambridge, Mass.:

MIT Press, 1984.

Churchland, P. M. (1989) A neurocomputational perspective: the nature of mind and the structure of science Cambridge, MA:

MIT Press, 1989.

Churchland, P. S. (1986) Neurophilosophy: toward a unified science of the mind-brain Cambridge, Mass.: MIT Press, 1986.

Davis, M. (1958) Computability and unsolvability. Manchester: McGraw-Hill.

Dietrich, E. (1990) Computationalism. Social Epistemology 4: 135 - 154.

Dyer, M. G. Intentionality and Computationalism: Minds, Machines, Searle and Harnad. Journal of Experimental and Theoretical

Artificial Intelligence, Vol. 2, No. 4, 1990.

Harnad, S. (1982a) Neoconstructivism: A unifying theme for the cognitive sciences. In: Language, mind and brain (T. Simon &

R. Scholes, eds., Hillsdale NJ: Erlbaum), 1 - 11.

Harnad, S. (1982b) Consciousness: An afterthought. Cognition and Brain Theory 5: 29 - 47.

Harnad, S. (1984) Verifying machines' minds. (Review of J. T. Culbertson, Consciousness: Natural and artificial, NY: Libra

1982.) Contemporary Psychology 29: 389 - 391.

Harnad, S. (1987) The induction and representation of categories. In: Harnad, S. (ed.) (1987) Categorical Perception: The

Groundwork of Cognition. New York: Cambridge University Press.

Harnad, S. (1989) Minds, Machines and Searle. Journal of Theoretical and Experimental Artificial Intelligence 1: 5-25.

Harnad, S. (1990a) The Symbol Grounding Problem. Physica D 42: 335-346.

Harnad, S. (1990b) Against Computational Hermeneutics. (Invited commentary on Eric Dietrich's Computationalism) Social

Epistemology 4: 167-172.

Harnad, S. (1990c) Lost in the hermeneutic hall of mirrors. Invited Commentary on: Michael Dyer: Minds, Machines, Searle and

Harnad. Journal of Experimental and Theoretical Artificial Intelligence 2: 321 - 327.

Harnad, S. (1991) Other bodies, Other minds: A machine incarnation of an old philosophical problem. Minds and Machines 1:

43-54.

Harnad, S. (1992) Connecting Object to Symbol in Modeling Cognition. In: A. Clarke and R. Lutz (Eds) Connectionism in

Context Springer Verlag.

Harnad, S. (1993) Grounding Symbols in the Analog World with Neural Nets. Think 2: 12 - 78 (Special Issue on "Connectionism

versus Symbolism" D.M.W. Powers & P.A. Flach, eds.).

Harnad, S., Hanson, S.J. & Lubin, J. (1991) Categorical Perception and the Evolution of Supervised Learning in Neural Nets. In:

Working Papers of the AAAI Spring Symposium on Machine Learning of Natural Language and Ontology (DW Powers & L

Reeker, Eds.) pp. 65-74. Presented at Symposium on Symbol Grounding: Problems and Practice, Stanford University, March

1991; also reprinted as Document D91-09, Deutsches Forschungszentrum fur Kuenstliche Intelligenz GmbH Kaiserslautern FRG.

Hayes, P., Harnad, S., Perlis, D. & Block, N. (1992) Virtual Symposium on the Virtual Mind. Minds and Machines (in press)

Kleene, S. C. (1969) Formalized recursive functionals and formalized realizability. Providence. American Mathematical Society.

MacLennan, B. J. (1987) Technology independent design of neurocomputers: The universal field computer. In M. Caudill & C.

Butler (Eds.), Proceedings, IEEE First International Conference on Neural Networks (Vol. 3, pp. 39-49). New York, NY:

Institute of Electrical and Electronic Engineers.

MacLennan, B. J. (1988) Logic for the new AI. In J. H. Fetzer (Ed.), Aspects of Artificial Intelligence (pp. 163-192). Dordrecht:

Kluwer.

MacLennan, B. J. (in press-a) Continuous symbol systems: The logic of connectionism. In Daniel S. Levine and Manuel Aparicio

IV (Eds.), Neural Networks for Knowledge Representation and Inference. Hillsdale, NJ: Lawrence Erlbaum.

MacLennan, B. J. (in press-b) Characteristics of connectionist knowledge representation. Information Sciences, to appear.

MacLennan, B. J. (1993) Grounding Analog Computers. Think 2: 48-51.

Morowitz, H. (1992) Beginning of Cellular Life. Yale University Press.

Nagel, T. (1974) What is it like to be a bat? Philosophical Review 83: 435 - 451.

Nagel, T. (1986) The view from nowhere. New York: Oxford University Press.

Newell, A. (1980) Physical Symbol Systems. Cognitive Science 4: 135 - 83.

Pylyshyn, Z. W. (1984) Computation and cognition. Cambridge MA: Bradford Books

Searle, J. R. (1980) Minds, brains and programs. Behavioral and Brain Sciences 3: 417-424.

Sober, E. (1992) Learning from functionalism: Prospects for strong AL. In: C.G Langton (Ed.) Artificial Life II. Redwood City,

Calif.: Addison-Wesley

Turing, A. M. (1964) Computing machinery and intelligence. In: Minds and machines, A . Anderson (ed.), Engelwood Cliffs NJ:

Prentice Hall.

Metadata

Repository Staff Only: item control page