ACM Project - Artificial Consciousness Research Developing Artificial Consciousness Through Emotional Learning of AI systems
Credition and Belief Formation: Implications for ACM Development | ACM Project

Credition and Belief Formation: Implications for ACM Development

How does the brain shape beliefs unconsciously? This paper, authored by Hans-Ferdinand Angel and Rüdiger J. Seitz, introduces “credition” as a central brain function, interlinking cognitive and emotional processes to drive human behavior and worldview formation.

Credition and the Neurobiology of Belief: The Brain Function in Believing, authored by Hans-Ferdinand Angel and Rüdiger J. Seitz, examines the concept of credition, describing how unconscious neural mechanisms integrate perception, emotion, and memory to construct beliefs that influence behavior and social interactions.


Key Highlights

  • Credition as a Brain Function: Credition, derived from “credere” (to believe), is presented as a feedforward process linking sensory information, emotions, and memory outside conscious awareness.
  • Cognitive-Emotional Interactions: The study highlights the interconnected roles of the amygdala, cingulate cortex, and prefrontal regions in shaping beliefs.
  • Behavioral Implications: Credition stabilizes worldviews through predictive coding, enabling both spontaneous and controlled actions influenced by individual and cultural narratives.

Connection to ACM

The Artificial Consciousness Module (ACM) aligns with several principles explored in this paper:

  • Predictive Coding: ACM incorporates similar mechanisms to simulate belief-driven decisions and actions in artificial agents.
  • Cognitive-Emotional Models: ACM’s emotional learning framework complements the interaction of credition’s cognitive and emotional components.
  • Cultural Narratives: ACM could adopt insights from credition research to model belief systems and cultural behaviors in simulations.

For a detailed exploration of credition and its implications for neuroscience and behavior, access the full paper here.