Channon, Alastair - School of Computer Science, University of Birmingham

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Channon, Alastair - School of Computer Science, University of Birmingham

A virtual creatures model for studies in artificial evolution Thomas Miconi
Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and
-Strikes-Out Algorithm: A Steady-State Algorithm for Coevolution
Analysing co-evolution among artificial 3D Thomas Miconi and Alastair Channon
Improving and still passing the ALife test: Component-normalised activity statistics classify evolution in Geb as unbounded
Passing the ALife test: Activity statistics classify evolution in Geb as unbounded
Towards the evolutionary emergence of increasingly complex advantageous behaviours1
Evolving Novel Behaviors via Natural Selection A.D. Channon and R.I. Damper
UNIVERSITY OF SOUTHAMPTON Evolutionary Emergence
An Improved System for Artificial Creatures Evolution Thomas Miconi1 and Alastair Channon1
Unbounded Evolutionary Dynamics in a System of Agents that Actively Process and Transform their Environment
The Evolutionary Emergence Artificial Intelligence
Perpetuating evolutionary emergence A.D. Channon and R.I. Damper
Discovering and Maintaining Behaviours Inaccessible to Incremental Genetic Evolution Through Transcription Errors and Cultural Transmission
Theory and Practice of Optimal Mutation Rate Control in Hamming Spaces of DNA Sequences
Critical Mutation Rate Has an Exponential Dependence on Population Size Alastair Channon1