I review the history of work in Artificial Life on the problem of the open-ended evolutionary growth of complexity in computational worlds. This is then put into the context of evolutionary epistemology and human creativity

McMullin, Barry

Dagstuhl Research Online Publication Server

English

30 years of computational autopoiesis: A review.

A category theoretical argument against the possibility of artiﬁcial life: Robert Rosen’s central proof revisited. Artiﬁcial Life, 12(1):117– 134. Available from:

A proposal to create two biodiversity reserves: One digital and one organic. Project proposal for Network Tierra. Available from:

An approach to the synthesis of life.

An implementation of von Neumann’s self-reproducing machine.

Artiﬁcial life: The coming evolution.

Autocatalytic replication of polymers.

Autopoiesis: The organization of living systems, its characterization and a model.

Cellular Automata.

Chemical organization theory.

Computer recreations; self-reproducing automata. Software—Practice and Experience,

Computer recreations: A program called mice nibbles its way to victory at the ﬁrst core wars tournament.

Computer recreations: In a game called Core War hostile programs engage in a battle of bits.

Computer recreations: Of worms, viruses and core war.

Darwin among the machines; or, the origins of [artiﬁcial]

Darwin Among the Machines: The Evolution of Global Intelligence.

Darwin: A game of survival and (hopefully) evolution. Software—Practice and Experience, 2:91–96. Attachment to letter appearing in Computer Recreations column, signed by

Digital life behavior in the amoeba world.

Emergentbehaviours: towardscomputationalaesthetics.

Evolutionary epistemology.

Evolutionary learning in the 2D artiﬁcial life system “Avida”.

First draft of a report on the EDVAC. (A corrected version was formally published in the

G¨ odel, Escher, Bach: An Eternal Golden Braid.

game of life”: interactive art installation using eye-tracking interface.

Genetic Programming - An Introduction.

Genetic programming: An introduction and survey of applications.

Genetic Programming.

in Los Alamos,

in Sante Fe,

John von Neumann and the evolutionary growth of complexity: Looking backwards, looking forwards.

Life Itself.

Neural darwinism.

Nothing in biology makes sense except in the light of evolution.

Numerical testing of evolution theories.

On a logical paradox implicit in the notion of a self-reproducing automaton.

On computable numbers, with an application to the entscheidungsproblem.

Organisms as causal systems which are not mechanisms: An essay into the nature of complexity.

Presentation hosted by the Edge Foundation,

Rediscovering computational autopoiesis.

Self-Modifying Systems in Biology and Cognitive Science,

Self-reproduction in cellular automata.

Some epistemological implications of devices which construct their own sensors and effectors. In Toward a practice of autonomous systems-Proceedings of the

Some relational cell models: The metabolism-repair systems.

Some remarks on autocatalysis and autopoiesis.

Some studies in machine learning using the game of checkers.

Studies of the spontaneous emergence of self-replicating systems using cellular automata and formal grammars.

Symbiogenetic evolution processes realized by artiﬁcial methods.

T.(2001). Astudyofreplicatorsandhypercycles by typogenetics.

The arrival of the ﬁttest: Toward a theory of biological organization.

The Cerebral Code: Thinking a Thought in the Mosaics of the Mind.

The coreworld: Emergence and evolution of cooperative structures in a computational chemistry.

The Evolution of Cooperation.

The evolution of strategies in the iterated prisoner’s dilemma.

The Holland -universes revisited.

The origins of order: self-organization and selection in evolution.

Theory of Self-Reproducing Automata [by] John von Neumann.

Typogenetics. Thesis for

Unended Quest.

Universality in the von neumann cellular model.

What is life?

Who needs genomes? Presented at the Atlantic

Without Miracles: Universal Selection Theory and the Second Darwinian Revolution.

Artificial life meets computational creativity?