All Stories

  1. Bayesian Forgetting in Continual Learning
  2. RAMA: A Meta-Algorithmic Framework for Ramanujan-Style Heuristic Discovery Using Large Language Models
  3. Editorial: Prompts: the double-edged sword using AI
  4. Correction: Vallverdú, J.; Rius, G. NeuroQ: Quantum-Inspired Brain Emulation. Biomimetics 2025, 10, 516
  5. A Bio-realistic Synthetic Hippocampus for Robotic Cognition
  6. NeuroQ: Quantum-Inspired Brain Emulation
  7. Neurodiverse AI
  8. Force majeure impact on citizen science: Perspective from an EU funded project
  9. Enactivism, Health, AI, and Non-Neurotypical Individuals: Toward Contextualized, Personalized, and Ethically Grounded Interventions
  10. Sociomorphic Neuromodeling in Academic Emotionology as an Integration of Neurocognitive and Psycholinguistic Knowledge in Artificial Intelligence
  11. Disembodied Meaning? Generative AI and Understanding
  12. Force majeure impact on citizen science: Perspective from an EU funded project
  13. An Interview with Kevin Warwick: Cyborg Identity, Techno-death, and the Future of Being Human
  14. An Interview with Neil Harbisson: Life, Death, and the Art of Being a Cyborg
  15. Introduction: Rethinking Death in the Digital Age—Delving into a Cross-Disciplinary Inquiry
  16. Symbolic Death and Dual-Use Dilemmas
  17. Synthetic Death: Bioinspired Mechanisms for AI Resilience and Renewal
  18. Paired nerve stimulation with selective compensation effect
  19. Advancing Neural Networks: Innovations and Impacts on Energy Consumption
  20. Causality and Artificial Intelligence
  21. Causality for Artificial Intelligence
  22. Counterfactual Thinking for Machines
  23. Defining and Debating Algorithmic Causality
  24. Do Humans Think Causally, and How?
  25. Generative AI and Causality
  26. Ground Zone: Definitions and Concepts About Causality
  27. How Causality Works in Nonhuman Minds
  28. My Kingdom for a Causal Algorithm
  29. Open Paradoxes: Retrocausality
  30. Pitfalls and Triumphs of Causal AI
  31. Challenges and Controversies of Generative AI in Medical Diagnosis
  32. Modeling intrinsic factors of inclusive engagement in citizen science: Insights from the participants’ survey analysis of CSI-COP
  33. máquina antropológica: el autómata en el cine español de los orígenes
  34. Neuropunk revolution in short
  35. Hormonal computing: a conceptual approach
  36. Editorial: Ethical design of artificial intelligence-based systems for decision making
  37. What if plants compute?
  38. Fungal Minds
  39. Neuro-Interfaces Review
  40. Editorial: Virtual reality for neuropsychology and affective cognitive sciences: Theoretical and methodological avenues for studying human cognition
  41. ¿A qué filosofías ha afectado la Neurociencia?
  42. Fungal States of Minds
  43. Para-functional engineering: cognitive challenges
  44. Cross-Embodied Cognitive Morphologies
  45. The Foundations of Creativity: Human Inquiry Explained Through the Neuro-Multimodality of Abduction
  46. What the #®¥§≠$@ is Creativity?
  47. Què #®¥§≠$@ és la creativitat?
  48. Biases in Assigning Emotions in Patients Due to Multicultural Issues
  49. Éticas falibles para máquinas (in)falibles
  50. Biasing AI?
  51. Fuckbots: The Challenges of Sexual Robotics
  52. Approximate and Situated Causality in Deep Learning
  53. A Computational, Cognitive, and Situated Framework for Emotional Social Simulations
  54. Fake Empathy and Human-Robot Interaction (HRI)
  55. Errors, Biases and Overconfidence in Artificial Emotional Modeling
  56. Approximate and Situated Causality in Deep Learning
  57. Chemical Excitable Medium in Barcelona Street Network as a Method for Panicked Crowds Behavior Analysis
  58. Emotional machines: The next revolution
  59. Philosophical and Methodological Debates in Public Health
  60. Blended Cognition
  61. Modeling Psycho-Emotional States via Neurosimulation of Monoamine Neurotransmitters
  62. Allocentric Emotional Affordances in HRI: The Multimodal Binding
  63. Bio-plausible simulation of three monoamine systems to replicate emotional phenomena in a machine
  64. Allocentric Emotional Affordances in HRI: The Multimodal Binding
  65. Corrigendum to “Slime mould: The fundamental mechanisms of biological cognition” [BioSystems 165 (2018) 57–70]
  66. Slime mould: The fundamental mechanisms of biological cognition
  67. Post Truth, Newspeak and Epidemiological Causality
  68. Fake Empathy and Human-Robot Interaction (HRI)
  69. Simulation of serotonin mechanisms in NEUCOGAR cognitive architecture
  70. Biased Learners for Rational Teachers: Do We Need a Tricky Bounded Teaching?
  71. Bio-plausible simulation of three monoamine systems to replicate emotional phenomena in a machine
  72. Why do we foster and grant wrong innovative scientific methods? The Neuroscientific Challenge
  73. Brains, language and the argumentative mind in Western and Eastern societies. The fertile differences between Western-Eastern argumentative traditions
  74. Lessons from culturally contrasted alternative methods of inquiry and styles of comprehension for the new foundations in the study of life
  75. Affording Visual Causal Epistemologies in Epidemiology
  76. Swarm Intelligence via the Internet of Things and the Phenomenological Turn
  77. A Computational, Cognitive, and Situated Framework for Emotional Social Simulations
  78. (Un-)Biasing the Morphologies of Affect for HRI Purposes
  79. Information as a Morpho-Ontological Process
  80. Advanced Research on Biologically Inspired Cognitive Architectures
  81. Emotional affordances in human-machine interactive planning and negotiation
  82. Modeling Inhibitory and Excitatory Synapse Learning in the Memristive Neuron Model
  83. The Emotional Nature of Post-Cognitive Singularities
  84. The increasing complexity in robotics intelligent systems
  85. Emotional affordances for human-robot interaction
  86. Emotional simulations and depression diagnostics
  87. Why Robots Must Have Synthetic Emotions? The Role of Emotions in the Artificial Cognitive Systems
  88. Can machines talk? Comparison of Eliza with modern dialogue systems
  89. The Best Model of a Cat Is Several Cats
  90. Simulation of a Fear-like State on a Model of Dopamine System of Rat Brain
  91. Bayesians Versus Frequentists
  92. Ambient Stupidity
  93. A cognitive architecture for the implementation of emotions in computing systems
  94. Advancements in Artificial Intelligence Applications and the Development of Synthetic Emotions
  95. Debate e ideas sobre "neuro-" algo
  96. Situated phenomenology and biological systems: Eastern and Western synthesis
  97. The Coevolution, Battles, and Fights of Both Paradigms
  98. The Birth of Multicausality as the Death of Causality and Their Statistical Corollaries
  99. The Bayesian Approach and Its Evolution Until the Beginning of the Twentieth Century
  100. Some Questions to Begin with
  101. Natural Versus Artificial Minds and the Supercomputing Era
  102. And the Winner Is…
  103. Ancient Statistics History in a Nutshell
  104. A Conceptual Reply to Reverend Bayes: The Frequentist Approach
  105. La controversia científica, un fundamento conceptual y metodológico en la formación inicial de docentes: una propuesta de enseñanza para la apropiación de habilidades argumentativas
  106. Neuromodulating Cognitive Architecture: Towards Biomimetic Emotional AI
  107. Lorenzo Magnani and Ping Li (Eds.): Philosophy and Cognitive Science: Western and Eastern Studies
  108. Towards Anthropo-Inspired Computational Systems: The $$P^3$$ P 3 Model
  109. Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics
  110. Ethical and Technical Aspects of Emotions to Create Empathy in Medical Machines
  111. Governance, Regulation and Innovation: Theory and Evidence from Firms and Nations edited by Mehmet Ugur
  112. What are Simulations? An Epistemological Approach
  113. E-Science and the data deluge
  114. Charles O. Nussbaum: The Musical Representation—Meaning, Ontology, and Emotion
  115. From Computational Emotional Models to HRI
  116. Ekman's Paradox and a Naturalistic Strategy to Escape From It
  117. Epistemology and Emotions
  118. Julien A. Deonna, Raffaele Rodogno, Fabrice Teroni: In Defense of Shame. The Faces of an Emotion
  119. Creating Synthetic Emotions through Technological and Robotic Advancements
  120. La construcción de la mente artificial desde Oriente
  121. MORI, MASAHIRO (2005) The Buddha in the Robot. A Robot Engineer’s Thoughts on Science and Religion
  122. Patenting Logic, Mathematics or Logarithms? The Case of Computer-Assisted Proofs
  123. Patenting Logic, Mathematics or Logarithms? The Case of Computer-Assisted Proofs
  124. Probability, History of
  125. Bayesian Versus Frequentist Statistical Reasoning
  126. Chatterbox Challenge as a Test-Bed for Synthetic Emotions
  127. Thinking Machines and the Philosophy of Computer Science
  128. Computational Epistemology and e-Science: A New Way of Thinking
  129. Handbook of Research on Synthetic Emotions and Sociable Robotics
  130. APUNTES EPISTEMOLÓGICOS A LA E-CIENCIA
  131. Hypertextual Thoughts
  132. Valores en controversias
  133. Alife in the Classrooms: an Integrative Learning Approach
  134. ¿Cómo finalizan las controversias?
  135. Choosing between different AI approaches? The scientific benefits of the confrontation, and the new collaborative era between humans and machines
  136. An Epistemological Analysis of QSPR/QSAR Models
  137. Seeing for Knowing
  138. Embodying Cognition
  139. The Ethical Challenges of Synthetic Biology
  140. Modelling Hardwired Synthetic Emotions
  141. Seeing for Knowing: The Thomas Effect and Computational Science
  142. Qualia Learning?
  143. Modelling Hardwired Synthetic Emotions
  144. Modelling Hardwired Synthetic Emotions
  145. Emotions and Social Evolution
  146. Embodying Cognition: A Morphological Perspective
  147. Embodying Cognition
  148. Chatterbox Challenge as a Test-Bed for Synthetic Emotions
  149. An Epistemological Analysis of QSPR/QSAR Models
  150. Emotions and Social Evolution:
  151. The Evolutionary Role of Emotions
  152. The Hidden Hunter Paradox
  153. A Review of Main Architectures
  154. AI and Emotions
  155. Classic If/Then Emotions vs Bio-Inspired Models
  156. Contemporary Challenges
  157. Cultural Attitudes Towards Robots
  158. Emotional Affordances
  159. Emotioneering for Games, Avatars and Pornography
  160. From Kismet to Geminoids
  161. HRI and RRI
  162. Naturalizing Consciousness Emergence for AI Implementation Purposes
  163. The Basic Elements of Emotions
  164. The History of Affective Computing
  165. The Syntax of Emotions
  166. User's Interactions