Robert W Clowes
Biographic Data
| ID | 1308941 |
|---|---|
| NAME | Robert W Clowes |
| GIVEN NAMES | Robert W |
| FAMILY NAME | Clowes |
| SIGNATURE | CLOWES R W |
| AFFILIATIONS | Universidade Nova de Lisboa |
| ORCID | 0000-0003-2006-3917 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
The Story of Your Life: Large Language Models and Personal Memory
The present paper explores how large language models (LLMs) can function as personal memory systems. Unlike conventional lifelogging technologies, which passively record data, LLMs can actively participate in memory processes through dialog, interpretation, and narrative generation. LLMs, we suggest, mark a new chapter in the history of memory technology, one characterized by the active solicitation of mnemonically-relevant information and the co…
The Mind-Technology Problem in the Age of GenAI: Introduction to the Special Issue
ChatGPT, extended: Large language models and the extended mind
Recent research has relied on the use of fine-tuning techniques to incorporate philosophical knowledge into Large Language Models (LLMs). The present paper outlines an alternative approach to the development of such systems—one that is rooted in a technique known as Retrieval-Augmented Generation (RAG). In contrast to fine-tuning, RAG does not seek to adjust the internal parameters (or internal memory) of an LLM. Instead, RAG relies on the retrie…
Varieties of transparency: Exploring agency within AI systems
Phenomenal transparency and the extended mind
Proponents of the extended mind have suggested that phenomenal transparency may be important to the way we evaluate putative cases of cognitive extension. In particular, it has been suggested that in order for a bio-external resource to count as part of the machinery of the mind, it must qualify as a form of transparent equipment or transparent technology. The present paper challenges this claim. It also challenges the idea that phenomenological …
Screen reading and the creation of new cognitive ecologies
Thinking in the Cloud: The Cognitive Incorporation of Cloud-Based Technology
Phenomenal transparency and the extended mind
Proponents of the extended mind have suggested that phenomenal transparency may be important to the way we evaluate putative cases of cognitive extension. In particular, it has been suggested that in order for a bio-external resource to count as part of the machinery of the mind, it must qualify as a form of transparent equipment or transparent technology. The present paper challenges this claim. It also challenges the idea that phenomenological …
ChatGPT, extended: Large language models and the extended mind
Recent research has relied on the use of fine-tuning techniques to incorporate philosophical knowledge into Large Language Models (LLMs). The present paper outlines an alternative approach to the development of such systems—one that is rooted in a technique known as Retrieval-Augmented Generation (RAG). In contrast to fine-tuning, RAG does not seek to adjust the internal parameters (or internal memory) of an LLM. Instead, RAG relies on the retrie…
Thinking in the Cloud: The Cognitive Incorporation of Cloud-Based Technology
Screen reading and the creation of new cognitive ecologies
Phenomenal transparency and the extended mind
Proponents of the extended mind have suggested that phenomenal transparency may be important to the way we evaluate putative cases of cognitive extension. In particular, it has been suggested that in order for a bio-external resource to count as part of the machinery of the mind, it must qualify as a form of transparent equipment or transparent technology. The present paper challenges this claim. It also challenges the idea that phenomenological …
Varieties of transparency: Exploring agency within AI systems
ChatGPT, extended: Large language models and the extended mind
Recent research has relied on the use of fine-tuning techniques to incorporate philosophical knowledge into Large Language Models (LLMs). The present paper outlines an alternative approach to the development of such systems—one that is rooted in a technique known as Retrieval-Augmented Generation (RAG). In contrast to fine-tuning, RAG does not seek to adjust the internal parameters (or internal memory) of an LLM. Instead, RAG relies on the retrie…
The Story of Your Life: Large Language Models and Personal Memory
The present paper explores how large language models (LLMs) can function as personal memory systems. Unlike conventional lifelogging technologies, which passively record data, LLMs can actively participate in memory processes through dialog, interpretation, and narrative generation. LLMs, we suggest, mark a new chapter in the history of memory technology, one characterized by the active solicitation of mnemonically-relevant information and the co…
The Mind-Technology Problem in the Age of GenAI: Introduction to the Special Issue
Computer Science (5 works) · Cognitive science (4 works) · Embodied and Extended Cognition (4 works) · Psychology (4 works) · Cognition (3 works) · Neuroethics, Human Enhancement, Biomedical Innovations (3 works) · Personal Information Management and User Behavior (3 works) · Philosophy of mind (3 works) · Cognitive psychology (2 works) · Data science (2 works)