
TL;DR
This paper explores how perception influences conscious behavior and decision-making, emphasizing stochastic belief formation and the impact of perception-based social networks on agents.
Contribution
It introduces a novel agent model based on energy minima in interaction landscapes, linking perception, stochasticity, and social network formation.
Findings
Perception affects decision-making through stochastic belief dynamics.
Agents form social networks based on perception-related beliefs.
Interaction landscapes lead to asymmetries in perceptions.
Abstract
The role of perception in conscious behavior and decision-making is examined. The effect of spatial and temporal stochasticity in the acquisition of beliefs is discussed. The idea of an agent as a locally strongly coupled group of states leads to the creation of energy minima in an interaction potential landscape. The interaction of such agent states and environment states acting at different levels of complexity and scale, subject to stochastically expressed interaction interfaces, may lead to asymmetry in perceptions. Agents possessing different perception related beliefs are then connected in a social network.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural dynamics and brain function · Complex Systems and Time Series Analysis · Complex Network Analysis Techniques
