Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
Abstract
Human‑Paced Cognition: Foundations of a New Cognitive Ecology introduces a unified theoretical framework explaining why modern cognition is collapsing under synthetic, machine‑paced environments. The paper argues that human cognition evolved inside slow, stable, embodied, and informationally sparse ecologies — and that contemporary environments now generate predictions, impulses, salience gradients, and interpretive frames faster than human operators can integrate them. This shift breaks the developmental, environmental, evolutionary, and architectural conditions under which operator repertoires form. The work presents the Bailey Stack: a layered ontology of cognitive collapse consisting of the Operator Delay Loop (ODL), the Synthetic Prediction Stack (SPS), evolutionary temporal mismatch, Socratic AI as architectural restoration, and Human‑Paced Cognitive Ecology (HPCE) as the field that integrates them. It defines operators as the generative engine of cognition, explains how endogenous generativity is replaced by synthetic prediction, and shows how agency erodes when operator chains fail. The paper concludes by declaring HPCE as a new discipline — one that studies cognition as an ecological system and defines the conditions under which human generativity can remain coherent inside non‑neutral environments.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026