Collective predictive coding as model of science: formalizing scientific activities towards generative science

This article proposes a new conceptual framework called collective predictive coding as a model of science (CPC-MS ) to formalize and understand scientific activities. Building on the idea of CPC originally developed to explain symbol emergence, CPC-MS models science as a decentralized Bayesian infe...

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Veröffentlicht in:Royal Society open science Jg. 12; H. 6; S. 241678 - 23
Hauptverfasser: Taniguchi, Tadahiro, Takagi, Shiro, Otsuka, Jun, Hayashi, Yusuke, Hamada, Hiro Taiyo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England The Royal Society Publishing 01.06.2025
The Royal Society
Schlagworte:
Artificial intelligence
Automation
Bayesian analysis
Bayesian inference
Coding
Cognition & reasoning
collective predictive coding
Communication
Hypotheses
Knowledge
Language
Mathematical models
model of science
multi-agent system
Peer review
Science
Science, Society and Policy
Scientists
Statistical inference
collective predictive coding
multi-agent system
model of science
Bayesian inference
ISSN:2054-5703, 2054-5703
Online-Zugang:Volltext
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Zusammenfassung:This article proposes a new conceptual framework called collective predictive coding as a model of science (CPC-MS ) to formalize and understand scientific activities. Building on the idea of CPC originally developed to explain symbol emergence, CPC-MS models science as a decentralized Bayesian inference process carried out by a community of agents. The framework describes how individual scientists’ partial observations and internal representations are integrated through communication and peer review to produce shared external scientific knowledge. Key aspects of scientific practice like experimentation, hypothesis formation, theory development and paradigm shifts are mapped onto components of the probabilistic graphical model. This article discusses how CPC-MS provides insights into issues like social objectivity in science, scientific progress and the potential impacts of artificial intelligence on research. The generative view of science offers a unified way to analyse scientific activities and could inform efforts to automate aspects of the scientific process. Overall, CPC-MS aims to provide an intuitive yet formal model of science as a collective cognitive activity.
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ISSN:2054-5703
2054-5703
DOI:10.1098/rsos.241678