196 results on '"Tufte, Gunnar"'
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2. On Artificial Life and Emergent Computation in Physical Substrates
3. flatspin: A Large-Scale Artificial Spin Ice Simulator
4. EPIC: An Energy-Efficient, High-Performance GPGPU Computing Research Infrastructure
5. Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity
6. A general representation of dynamical systems for reservoir computing
7. EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality
8. A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality
9. Viewing Rate-Based Neurons as Biophysical Conductance Outputting Models
10. EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality
11. Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata
12. Clocked dynamics in artificial spin ice
13. Viewing Rate-Based Neurons as Biophysical Conductance Outputting Models
14. Investigation of Developmental Mechanisms in Common Developmental Genomes
15. Measuring Phenotypic Structural Complexity of Artificial Cellular Organisms : Approximation of Kolmogorov Complexity with Lempel-Ziv Compression
16. Investigation of Genome Parameters and Sub-Transitions to Guide Evolution of Artificial Cellular Organisms
17. Evolution-In-Materio: Solving Machine Learning Classification Problems Using Materials
18. Mecobo: A Hardware and Software Platform for In Materio Evolution
19. Genome Parameters as Information to Forecast Emergent Developmental Behaviors
20. Adaptation in Tissue Sustained by Hormonal Loops
21. Metamorphosis and Artificial Development: An Abstract Approach to Functionality
22. Evolving Music from a Self-Organising Nanomagnetic Orchestra
23. Global asymptotic stabilization of a pendulum using a single Lyapunov proportional bang-bang control strategy
24. Discovery and Investigation of Inherent Scalability in Developmental Genomes
25. TransFormer #13: Exploration and Adaptation of Evolution Expressed in a Dynamic Sculpture
26. Extending Artificial Development: Exploiting Environmental Information for the Achievement of Phenotypic Plasticity
27. Evolving Artificial Spin Ice for Robust Computation.
28. Evolution-in-materio: solving computational problems using carbon nanotube–polymer composites
29. Biologically-Inspired: A Rule-Based Self-Reconfiguration of a Virtex Chip
30. Building Knowledge into Developmental Rules for Circuit Design
31. Shrinking the Genotype: L-systems for EHW?
32. flatspin: A large-scale artificial spin ice simulator
33. Autonomous adaptation inspired by the model of a minimal living system provided by chemoton theory
34. Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata
35. Evolution-in-materio: evolving computation in materials
36. Global asymptotic stabilization of a pendulum using a single Lyapunov proportional bang-bang control strategy.
37. Model-free Control of Partially Observable Underactuated Systems by pairing Reinforcement Learning with Delay Embeddings
38. Gardening Cyber-Physical Systems
39. Investigation of Genome Parameters and Sub-Transitions to Guide Evolution of Artificial Cellular Organisms
40. Measuring Phenotypic Structural Complexity of Artificial Cellular Organisms
41. Evolution-In-Materio: Solving Machine Learning Classification Problems Using Materials
42. Mecobo: A Hardware and Software Platform for In Materio Evolution
43. Towards Development on a Silicon-based Cellular Computing Machine
44. Genome Parameters as Information to Forecast Emergent Developmental Behaviors
45. Gardening Cyber-Physical Systems
46. Metamorphosis and Artificial Development: An Abstract Approach to Functionality
47. Adaptation in Tissue Sustained by Hormonal Loops
48. From Evo to EvoDevo: Mapping and Adaptation in Artificial Development
49. A Representation of Artificial Spin Ice for Evolutionary Search
50. Model-Free All-Source-All-Destination Learning as a Model for Biological Reactive Control
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