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Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems

• Authors : Reinke, Chris; Etcheverry, Mayalen; Oudeyer, Pierre-Yves ...

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; Artificial Intelligence (cs.AI)

• Source: International Conference on Learning Representations (ICLR)International Conference on Learning Representations (ICLR), Apr 2020, Addis Ababa, Ethiopia

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A General Methodology for Designing Self-Organizing Systems

• Authors : Gershenson Garcia, Carlos;

Subjects: FOS: Computer and information sciences; Physics - Physics and Society; Computer Science - General Literature

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Network Bottlenecks and Task Structure Control the Evolution of Interpretable Learning Rules in a Foraging Agent

• Authors : Giannakakis, Emmanouil; Khajehabdollahi, Sina; Levina, Anna

Subjects: FOS: Computer and information sciences; Quantitative Biology - Neurons and Cognition; FOS: Biological sciences

• Source: Artificial Life. :1-18

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Swarm systems as a platform for open-ended evolutionary dynamics

• Authors : Hiroki Sayama

Subjects: FOS: Computer and information sciences; FOS: Biological sciences; Populations and Evolution (q-bio.PE)

• Source: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 383

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Swarm navigation of cyborg-insects in unknown obstructed soft terrain

• Authors : Yang Bai; Phuoc Thanh Tran Ngoc; Huu Duoc Nguyen

Subjects: FOS: Computer and information sciences; Computer Science - Robotics; Science

• Source: Nat CommunNature Communications, Vol 16, Iss 1, Pp 1-9 (2025)

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The Physics of Life: Exploring Information as a Distinctive Feature of Living Systems

• Authors : Bartlett, Stuart; Eckford, Andrew W.; Egbert, Matthew

Subjects: FOS: Computer and information sciences; Computer Science - Information Theory; Information Theory (cs.IT)

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A minimal model of cognition based on oscillatory and current-based reinforcement processes

• Authors : Linnéa Gyllingberg; Yu Tian; David J. T. Sumpter

Subjects: Social and Information Networks (cs.SI); FOS: Computer and information sciences; FOS: Physical sciences

• Source: J R Soc Interface

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Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations

• Authors : Goll, David; Heitzig, Jobst; Barfuss, Wolfram

Subjects: FOS: Computer and information sciences; Physics - Physics and Society; FOS: Physical sciences

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Untapped Potential in Self-Optimization of Hopfield Networks: The Creativity of Unsupervised Learning

• Authors : Weber, Natalya; Guckelsberger, Christian; Froese, Tom

Subjects: FOS: Computer and information sciences; Computer Science - Neural and Evolutionary Computing; FOS: Physical sciences

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Dynamical importance and network perturbations

• Authors : Ethan Young; Mason A. Porter

Subjects: Social and Information Networks (cs.SI); FOS: Computer and information sciences; Physics - Physics and Society

• Source: Physical Review E. 110

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