Phoster

Research and Development

Category: Artificial Intelligence

Machine Reading Comprehension and Erotetics

Introduction Artificial-intelligence systems capable of asking, managing, and answering questions while incrementally processing and analyzing texts can enhance: story comprehension and prediction, automatic item generation, synthetic data generation, automatic text summarization, the design and engineering of instructional materials and technical documentation, and the writing of stories. Modeling Reading Historical approaches to computationally modeling the various […]

Teaching and Learning with Moral Stories

Introduction Man-machine literature discussions about moral stories could provide value both to individuals (Goldenberg, 1992) and to artificial-intelligence systems (Sinatra, Graesser, Hu, Brawner, & Rus, 2019; Tong & Hu, 2024). User Modeling Self-improving adaptive instructional systems model users, both learners and experts. These models can be more generic, or stereotype-based, or more specific and highly […]

Computational Storyboarding

Introduction Computational storyboarding builds upon traditional storyboarding techniques, combining elements from screenplays, storyboards, functions, diagrams, and animation. Computational storyboards are intended to be of use as input for generative artificial-intelligence systems to create longer-form output video. A motivating use case is simplifying the creation of educational videos, e.g., lecture videos. With computational storyboards, content creators […]

Man-machine Multi-agent Systems Mediated by Structured Forums

Introduction Structured forum software store, organize, display, enable navigation to, and can provide search capabilities with respect to the contents of multiple discussion threads of multimodal dialogue between multiple interacting parties, between people and artificial-intelligence agents. Artificial-intelligence agents in multi-agent systems could copy their exchanged messages to, or be otherwise mediated by, structured forum software. […]

Artificial Intelligence and History Education

Automated Historical Research Today, research is underway into aiding and automating scientific and scholarly research processes. Zhang, Pearson, and Wang (2024) discuss automated scientific research in the form of literature reviews. Kang and Xiong (2024) have developed a benchmark for measuring artificial-intelligence systems’ capabilities with respect to conducting academic surveys. In the not-too-distant future, artificial-intelligence […]

Adaptive Instructional Systems and Attention Training

Introduction Attention span is the amount of time that learners can spend concentrating on tasks. Sustained attention develops through childhood and into adulthood, with a period of accelerated development occurring during early and middle childhood (Slattery, O’Callaghan, Ryan, Fortune, & McAvinue, 2022). Attention training is a part of education. Learners are trained to remain focused […]

Adaptive Instructional Systems and Recreational Mathematics

Introduction Mathematics is the queen of the sciences and vital to nations’ education objectives. How can it be made more enjoyable and fun for learners of all ages? Comparative Mathematics Curriculum In the United States, while mathematics curriculum varies across schools and districts, traditionally, high-school mathematics has been separated by topics, each topic typically lasting […]

Alignment and Legal Information Retrieval

Introduction The challenge addressed here is that of ensuring that all applicable rules, laws, and regulations are loaded into artificial-intelligence agents' working memories as they encounter wide, potentially open-ended, sets of situations. By agents being able to search for, retrieve, and load applicable rules, laws, and regulations into their working memories, they could be in […]

Multi-agent Question-answering Systems

Introduction Agents representing ideological stances, positions, perspectives, or schools of thought can serve in multi-agent systems which generate encyclopedic answers to end-users' complex questions. Agent Design, Reuse and Selection Large language models can generate content while role-playing, or impersonating, characters and personas (Shanahan, McDonell, & Reynolds, 2023). They can be fine-tuned using the works of […]

Role-playing Language Agents

Introduction Personas for role-playing language agents can be categorized into three distinct categories: demographic personas, character personas, and individualized personas (Chen, Wang, Xu, Tuan, Zhang, Shi, & Xie, 2024). Demographic personas focus on groups of people sharing common characteristics. Character personas represent well-established, widely-recognized individuals. Individualized personas refer to digital profiles built and continuously updated […]