TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910828290113536 |
|---|---|
| author | Bulathwela, Sahan Van Niekerk, Daniel Shipton, Jarrod Perez-Ortiz, Maria Rosman, Benjamin Shawe-Taylor, John |
| author_facet | Bulathwela, Sahan Van Niekerk, Daniel Shipton, Jarrod Perez-Ortiz, Maria Rosman, Benjamin Shawe-Taylor, John |
| contents | Personalised education is one of the domains that can greatly benefit from the most recent advances in Artificial Intelligence (AI) and Large Language Models (LLM). However, it is also one of the most challenging applications due to the cognitive complexity of teaching effectively while personalising the learning experience to suit independent learners. We hypothesise that one promising approach to excelling in such demanding use cases is using a \emph{society of minds}. In this chapter, we present TrueReason, an exemplar personalised learning system that integrates a multitude of specialised AI models that can mimic micro skills that are composed together by a LLM to operationalise planning and reasoning. The architecture of the initial prototype is presented while describing two micro skills that have been incorporated in the prototype. The proposed system demonstrates the first step in building sophisticated AI systems that can take up very complex cognitive tasks that are demanded by domains such as education. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_10411 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models Bulathwela, Sahan Van Niekerk, Daniel Shipton, Jarrod Perez-Ortiz, Maria Rosman, Benjamin Shawe-Taylor, John Computers and Society Artificial Intelligence Computation and Language Information Retrieval Multiagent Systems I.2.4; I.2.7; H.3.3; I.2.6; K.3.1 Personalised education is one of the domains that can greatly benefit from the most recent advances in Artificial Intelligence (AI) and Large Language Models (LLM). However, it is also one of the most challenging applications due to the cognitive complexity of teaching effectively while personalising the learning experience to suit independent learners. We hypothesise that one promising approach to excelling in such demanding use cases is using a \emph{society of minds}. In this chapter, we present TrueReason, an exemplar personalised learning system that integrates a multitude of specialised AI models that can mimic micro skills that are composed together by a LLM to operationalise planning and reasoning. The architecture of the initial prototype is presented while describing two micro skills that have been incorporated in the prototype. The proposed system demonstrates the first step in building sophisticated AI systems that can take up very complex cognitive tasks that are demanded by domains such as education. |
| title | TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models |
| topic | Computers and Society Artificial Intelligence Computation and Language Information Retrieval Multiagent Systems I.2.4; I.2.7; H.3.3; I.2.6; K.3.1 |
| url | https://arxiv.org/abs/2502.10411 |