paper:doi-10-1038-s42256-019-0103-7Homeostasis and soft robotics in the design of feeling machines
Related work— refs + corpus + external arXiv
Cited / in-corpus / arXiv badges show which signals surfaced each row. Multi-source rows weighted higher.
- The scaling of goals via homeostasis: an evolutionary simulation, experiment and analysisJohanna Bischof, Jennifer V. LaPalme, and Michael Levin Leo Pio-Lopez2022≈ 76%
- ≈ 75%
- From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent gridworld-based AI safety benchmarksRoland Pihlakas2025≈ 75%
- The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic PerceptionSammy Christen, Roger Gassert, Otmar Hilliges, and Katherine J. Kuchenbecker Alexis E. Block2026≈ 74%
- An Internal Model Principle For RobotsTamara Alshammari, Kalle G. Timperi, Mehdi Bennis, Steven M. LaValle Vadim K. Weinstein2024≈ 74%
- Mind in the Machine: Perceived Minds Induce Decision ChangeBaris Akgun, Sahibzada Omar, Aansa Malik, Zeynep Gurhan Canli, Terry Eskenazi Deniz Lefkeli2018≈ 74%
- ≈ 74%
- Towards Human-AI-Robot Collaboration and AI-Agent based Digital Twins for Parkinson's Disease Management: Review and OutlookRim Chighri, Muhammad Mahboob Ur Rahman, Mohamed A. Bahloul, Ali Muqaibel, Tareq Y. Al-Naffouri Hassan Hizeh2025≈ 74%
- Creating an Intelligent Dementia-Friendly Living Space: A Feasibility Study Integrating Assistive Robotics, Wearable Sensors, and Spatial TechnologyRupak Kumar Das, Anna Martin, Dale Dowling, Rana Imtiaz Arshia A Khan2026≈ 74%
- Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systemsL\'eo Pio-Lopez, Chris Fields, Michael Levin Benedikt Hartl2026≈ 74%
- ≈ 74%
- ≈ 74%
- On the Implicit and on the Artificial - Morphogenesis and Emergent Aesthetics in Autonomous Collective SystemsVitorino Ramos2007≈ 74%
- ≈ 74%
- ≈ 73%
- Ideas from Developmental Robotics and Embodied AI on the Questions of Ethics in RobotsAlexandre Pitti2018≈ 73%
- Cellular Plasticity Model for Bottom-Up Robotic DesignThomas J. Smith, Nicholas S. Szczecinski, Sergiy Yakovenko, and Yu Gu Trevor R. Smith2024≈ 73%
- ≈ 73%
- ≈ 72%
- ≈ 72%
- Collective intelligence: A unifying concept for integrating biology across scales and substratesin corpus2024≈ 72%
- ≈ 72%
- ≈ 72%
- Learning without neurons in physical systemsin corpus2022≈ 71%
- Life as we know itin corpus2013≈ 71%
- ≈ 71%
- ≈ 71%
- ≈ 71%
- The biogenic approach to cognitionin corpus2005≈ 71%
- Darwin's agential materials: evolutionary implications of multiscale competency in developmental biologyin corpus2023≈ 71%
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No current AI system is a strong candidate for phenomenal consciousness, yet there are no obvious technical barriers to building one — this is the central finding of Butlin et al. (2023), a systematic
- Self-Improvising Memory: A Perspective on Memories as Agential, Dynamically Reinterpreting Cognitive Glue
Memory's function is not fidelity but salience preservation through active reinterpretation—a claim Levin defends by unifying phenomena from caterpillar-to-butterfly metamorphosis (where training-indu
- Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds
TAME—Technological Approach to Mind Everywhere—formalizes a non-binary, empirically grounded framework for recognizing, comparing, and manipulating cognition across radically diverse substrates, from
- Living Things Are Not (20th Century) Machines: Updating Mechanism Metaphors in Light of the Modern Science of Machine Behavior
Bongard and Levin argue that the longstanding debate over whether living things are machines has been conducted against a 20th-century, static definition of 'machine' that modern engineering has alrea
- The computational boundary of a 'self': developmental bioelectricity drives multicellularity and scale-free cognition
Scale-Free Cognition, the framework introduced here, proposes that any coherent Self is demarcated by a 'cognitive light cone'—a spatio-temporal boundary of events a system can measure, model, and att