1 citations · 3 across the 8 of their papers we have counts for
8 papers
Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systems
Benedikt Hartl, Léo Pio-Lopez, Chris Fields +1
The emerging field of diverse intelligence seeks an integrated view of problem-solving in agents of very different provenance, composition, and substrates. From subcellular chemica…
Bootstrapping Life-Inspired Machine Intelligence: The Biological Route from Chemistry to Cognition and Creativity
Giovanni Pezzulo, Michael Levin
Achieving advanced machine intelligence remains a central challenge in AI research, often approached through scaling neural architectures and generative models. However, biological…
Cognition spaces: natural, artificial, and hybrid
Ricard Solé, Luis F Seoane, Jordi Pla-Mauri +3
Cognitive processes are realized across an extraordinary range of natural, artificial, and hybrid systems, yet there is no unified framework for comparing their forms, limits, and…
Effect of slowly decaying long-range interactions on topological qubits
Etienne Granet, Michael Levin
We study the robustness of topological ground state degeneracy to long-range interactions in quantum many-body systems. We focus on slowly decaying two-body interactions that scale…
Morphological computational capacity of Physarum polycephalum
Suyash Bajpai, Aviva Lucas-DeMott, Nirosha J Murugan +2
While computational capacity limits of the universe and carbon-based life have been estimated, a stricter bound for aneural organisms has not been established. Physarum polycephalu…
A free Z-action by isometries on a compact metric space which is not embeddable into a cubical shift
Alexander Dranishnikov, Michael Levin
We construct an example announced in the title. It answers in a strong way a well-known open problem in topological dynamics. In fact our construction is an existence theorem. It i…
Oncomorphic neural agent populations for resource-limited sequential learning
Philip Greulich, Michael Levin, Rosalia Moreddu
Distributed artificial intelligence (AI) often operates under sequential task exposure, uneven compute, and decentralized coordination. Here, we present a cancer-inspired, or oncom…
Finite-to-one equivariant maps and mean dimension
Michael Levin
We show that a minimal dynamical system on a compact metric with mdim admits for every natural an equivariant map to the shift $([0,1]^k)^{\mathbb{Z…