• Publications
  • Influence
Neural Networks and the Bias/Variance Dilemma
It is suggested that current-generation feedforward neural networks are largely inadequate for difficult problems in machine perception and machine learning, regardless of parallel-versus-serial hardware or other implementation issues.
A cell-based computational model of early embryogenesis coupling mechanical behaviour and gene regulation
MecaGen is introduced, an integrative modelling platform enabling the hypothesis-driven simulation of these dual processes via the coupling between mechanical and chemical variables of mesenchymal and epithelial cells and their associated behaviours.
Defining and simulating open-ended novelty: requirements, guidelines, and challenges
This work defines an architecture suitable for building simulations of open-ended novelty-generating systems and discusses the design principles applicable to those systems and closes with some challenges for the community.
Emergent engineering: a radical paradigm shift
We shed light on the disruptive advances brought by the ubiquity of computing and communication environments, which link devices and people in unprecedented ways into a new kind of techno social
Neocortical Self-Structuration as a Basis for Learning
It is suggested that the concurrent growth of multiple chains defines a mesoscopic scale of neural organization, and the ontogenetic development of the nerv- ous system is viewed as a "self-made tapestry" of synfire patterns, which could provide the basis for compositionality and learning.
A review of morphogenetic engineering
Particular emphasis is set on the programmability and computational abilities of self-organization, properties that are often underappreciated in CS science—while, conversely, the benefits of self -organization areoften underapp appreciated in engineering methodologies.
A workflow to process 3D+time microscopy images of developing organisms and reconstruct their cell lineage
The BioEmergences workflow integrating all reconstruction steps from image acquisition and processing to the interactive visualization of reconstructed data is presented, achieving the best lineage score.
Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering
  • R. Doursat
  • Engineering, Computer Science
    Organic Computing
  • 2008
This article presents an original model of artificial system growth inspired by embryogenesis, a lattice of cells that proliferate, migrate and self-pattern into differentiated domains that emphasizes hyperdistributed architectures, and their development as a prerequisite of evolutionary design.
Isolation-by-Distance and Outbreeding Depression Are Sufficient to Drive Parapatric Speciation in the Absence of Environmental Influences
A 2-D cellular automata model showing that an initially homogeneous population might spontaneously subdivide into reproductively incompatible species through sheer isolation-by-distance when the viability of offspring decreases as the genomes of parental gametes become increasingly different is proposed.
The myriads of Alife: Importing complex systems and self-organization into engineering.
  • R. Doursat
  • Biology, Computer Science
    IEEE Symposium on Artificial Life (ALIFE)
  • 11 April 2011
A new field of research is proposed, called “Morphogenetic Engineering”, which explores the artificial design and implementation of autonomous systems capable of developing complex, heterogeneous morphologies.