[HTML][HTML] Metacognitive function and fragmentation in schizophrenia: Relationship to cognition, self-experience and developing treatments

PH Lysaker, KS Minor, JT Lysaker… - Schizophrenia Research …, 2020 - Elsevier
Bleuler suggested that fragmentation of thought, emotion and volition were the unifying
feature of the disorders he termed schizophrenia. In this paper we review research seeking …

From machine learning to robotics: Challenges and opportunities for embodied intelligence

N Roy, I Posner, T Barfoot, P Beaudoin… - arXiv preprint arXiv …, 2021 - arxiv.org
Machine learning has long since become a keystone technology, accelerating science and
applications in a broad range of domains. Consequently, the notion of applying learning …

Human heuristics for AI-generated language are flawed

M Jakesch, JT Hancock… - Proceedings of the …, 2023 - National Acad Sciences
Human communication is increasingly intermixed with language generated by AI. Across
chat, email, and social media, AI systems suggest words, complete sentences, or produce …

Could an artificial-intelligence agent pass an introductory physics course?

G Kortemeyer - Physical Review Physics Education Research, 2023 - APS
Massive pretrained language models have garnered attention and controversy due to their
ability to generate humanlike responses: Attention due to their frequent indistinguishability …

A new layered model on emotional intelligence

AS Drigas, C Papoutsi - Behavioral sciences, 2018 - mdpi.com
Emotional Intelligence (EI) has been an important and controversial topic during the last few
decades. Its significance and its correlation with many domains of life has made it the …

40 years of cognitive architectures: core cognitive abilities and practical applications

I Kotseruba, JK Tsotsos - Artificial Intelligence Review, 2020 - Springer
In this paper we present a broad overview of the last 40 years of research on cognitive
architectures. To date, the number of existing architectures has reached several hundred …

[图书][B] Complex-valued neural networks

A Hirose - 2006 - Wiley Online Library
Complex-valued neural networks Complex-Valued Neural Networks Page 2 IEEE Press 445
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …

Enactive artificial intelligence: Investigating the systemic organization of life and mind

T Froese, T Ziemke - Artificial intelligence, 2009 - Elsevier
The embodied and situated approach to artificial intelligence (AI) has matured and become
a viable alternative to traditional computationalist approaches with respect to the practical …

Meta-recognition: The theory and practice of recognition score analysis

WJ Scheirer, A Rocha, RJ Micheals… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
In this paper, we define meta-recognition, a performance prediction method for recognition
algorithms, and examine the theoretical basis for its postrecognition score analysis form …

Neurosymbolic Value-Inspired AI (Why, What, and How)

A Sheth, K Roy - arXiv preprint arXiv:2312.09928, 2023 - arxiv.org
The rapid progression of Artificial Intelligence (AI) systems, facilitated by the advent of Large
Language Models (LLMs), has resulted in their widespread application to provide human …