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Found 18 papers, 6 papers with code
Classical Sorting Algorithms as a Model of Morphogenesis: self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligence
The emerging field of Diverse Intelligence seeks to identify, formalize, and understand commonalities in behavioral competencies across a wide range of implementations.
SBMLtoODEjax: Efficient Simulation and Optimization of Biological Network Models in JAX
Advances in bioengineering and biomedicine demand a deep understanding of the dynamic behavior of biological systems, ranging from protein pathways to complex cellular processes.
Control flow in active inference systems
Living systems face both environmental complexity and limited access to free-energy resources.
There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-scale Machines
This is challenging for many reasons, one of which is that living systems perform multiple functions in the same place at the same time.
The scaling of goals via homeostasis: an evolutionary simulation, experiment and analysis
Behavior science, evolutionary developmental biology, and the field of machine intelligence all seek an answer to the scaling of biological cognition: what evolutionary dynamics enable individual cells to integrate their activities to result in the emergence of a novel, higher-level intelligence that has goals and competencies that belong to it and not to its parts?
Closing the Loop on Morphogenesis: A Mathematical Model of Morphogenesis by Closed-Loop Reaction-Diffusion
Furthermore, the individual repetitions of the RD pattern can be easily stretched or shrunk under genetic control to create, e. g., some morphological features larger than others.
Competency of the Developmental Layer Alters Evolutionary Dynamics in an Artificial Embryogeny Model of Morphogenesis
Crucially, we observed that as competency of cells masks the raw fitness of the genomes, the phenotypic fitness gains are then mostly due to improvements of cells' developmental problem-solving capacities, not the structural genome.
The Free Energy Principle drives neuromorphic development
We show how any system with morphological degrees of freedom and locally limited free energy will, under the constraints of the free energy principle, evolve toward a neuromorphic morphology that supports hierarchical computations in which each level of the hierarchy enacts a coarse-graining of its inputs, and dually a fine-graining of its outputs.
Memory via Temporal Delays in weightless Spiking Neural Network
A common view in the neuroscience community is that memory is encoded in the connection strength between neurons.
Neurons as hierarchies of quantum reference frames
Conceptual and mathematical models of neurons have lagged behind empirical understanding for decades.
Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and minds
In this Perspective, I introduce TAME - Technological Approach to Mind Everywhere - a framework for understanding and manipulating cognition in unconventional substrates.
Scale invariant robot behavior with fractals
Finally, we show that biobots can spontaneously exhibit self similar attachment geometries, thereby suggesting that self similar behavior via self similar structure may be realizable across a wide range of robot platforms in future.
Generalized string-net models: A thorough exposition
What makes this construction more general than the original string-net construction is that, unlike the original construction, tetrahedral reflection symmetry is not assumed, nor is it assumed that the ground state wave function $\Phi$ is "isotropic": i. e. in the generalized setup, two string-net configurations $X_1, X_2$ that can be continuously deformed into one another can have different ground state amplitudes, $\Phi(X_1) \neq \Phi(X_2)$.
Strongly Correlated Electrons Mathematical Physics Mathematical Physics Quantum Physics
Modeling somatic computation with non-neural bioelectric networks
We characterize the mechanisms of such networks using dynamical-systems and information-theory tools, demonstrating that logic can manifest in bidirectional, continuous, and relatively slow bioelectrical systems, complementing conventional neural-centric architectures.
Scalable sim-to-real transfer of soft robot designs
The manual design of soft robots and their controllers is notoriously challenging, but it could be augmented---or, in some cases, entirely replaced---by automated design tools.
Automated shapeshifting for function recovery in damaged robots
We found that, especially in the case of "deep insult", such as removal of all four of the robot's legs, the damaged machine evolves shape changes that not only recover the original level of function (locomotion) as before, but can in fact surpass the original level of performance (speed).
Tensor renormalization group approach to 2D classical lattice models
We describe a simple real space renormalization group technique for two dimensional classical lattice models.
Statistical Mechanics Quantum Physics
Detecting topological order in a ground state wave function
A large class of topological orders can be understood and classified using the string-net condensation picture.
Strongly Correlated Electrons
