Various disciplines have examined the many phenomena of metacognition and have
produced numerous results, both positive and negative. I discuss some of these aspects of …

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 …

Narrative intelligence Narrative Intelligence A d van ces in C on sciou sn ess R esearch John
Benjamins Publishing Company 46 Edited by Michael Mateas and Phoebe Sengers Page 2 …

The emergence of large language models (LLMs) has substantially influenced natural
language processing, demonstrating exceptional results across various tasks. In this study …

To construct a perpetual self-aware cognitive agent that can continuously operate with
independence, an introspective machine must be produced. To assemble such an agent, it …

A central problem in multistrategy learning systems is the selection and sequencing of
machine learning algorithms for particular situations. This is typically done by the system …

To improve the performance of large language models (LLMs), researchers have explored
providing LLMs with textual task-solving experience via prompts. However, they rely on …

A significant research history exists with respect to metareasoning in artificial intelligence
(Anderson & Oates, 2007; Cox, 2005), and much of it is driven by the problems of bounded …

Introspective reasoning can enable a reasoner to learn by refining its own reasoning
processes. In order to perform this learning, the system must monitor the course of its …

Goal reasoning agents can solve novel problems by detecting a discrepancy between
expectations and observations; generating explanations about plausible causes for the …