Leveraging Generative Agents: Autonomous AI with Simulated Personas for Interactive Simulacra and Collaborative Research
The advent of large language models (LLMs) and AI learning have fundamentally reshaped the research landscape, paving the way for novel problem-solving approaches. This paper introduces a unique framework that leverages the capabilities of autonomous AI agents with simulated personas to drive collab...
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| Format: | Article |
| Language: | English English |
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INTI International University
2023
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| Online Access: | http://eprints.intimal.edu.my/1875/ http://eprints.intimal.edu.my/1875/1/joit2023_15r.pdf http://eprints.intimal.edu.my/1875/2/323 |
| _version_ | 1848766967493689344 |
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| author | Hutson, J. Ratican, J. |
| author_facet | Hutson, J. Ratican, J. |
| author_sort | Hutson, J. |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | The advent of large language models (LLMs) and AI learning have fundamentally reshaped the research landscape, paving the way for novel problem-solving approaches. This paper introduces a unique framework that leverages the capabilities of autonomous AI agents with simulated personas to drive collaborative research in groundbreaking ways. Inspired by a recent study of autonomous agents mirroring human behavior, this concept encourages the use of a cadre of AI agents, each possessing specialized expertise for collective endeavors. By replicating human diversity in teamwork, this approach targets complex and hitherto unsolvable issues. The key to this strategy is persona and emotional simulation, enabling these AI agents to facilitate cross- disciplinary and interdisciplinary research within a decentered author model, and providing innovative solutions to wicked problems. Expertise can be drawn upon
from disparate fields, including STEM, business, education, arts and humanities, and more. Enhanced by the advancements in AI research, specifically with LLMs like OpenAI's ChatGPT
3.5 and 4, this model offers profound potential to nurture research culture within universities by identifying barriers and proposing strategies to surmount them, drawing from international models for inspiration. This proposed decentered collaborative research model, despite constraints, holds immense promise in reinventing the research paradigm |
| first_indexed | 2025-11-14T11:57:50Z |
| format | Article |
| id | intimal-1875 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:59:33Z |
| publishDate | 2023 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-18752025-08-10T05:11:01Z http://eprints.intimal.edu.my/1875/ Leveraging Generative Agents: Autonomous AI with Simulated Personas for Interactive Simulacra and Collaborative Research Hutson, J. Ratican, J. Q Science (General) QA75 Electronic computers. Computer science The advent of large language models (LLMs) and AI learning have fundamentally reshaped the research landscape, paving the way for novel problem-solving approaches. This paper introduces a unique framework that leverages the capabilities of autonomous AI agents with simulated personas to drive collaborative research in groundbreaking ways. Inspired by a recent study of autonomous agents mirroring human behavior, this concept encourages the use of a cadre of AI agents, each possessing specialized expertise for collective endeavors. By replicating human diversity in teamwork, this approach targets complex and hitherto unsolvable issues. The key to this strategy is persona and emotional simulation, enabling these AI agents to facilitate cross- disciplinary and interdisciplinary research within a decentered author model, and providing innovative solutions to wicked problems. Expertise can be drawn upon from disparate fields, including STEM, business, education, arts and humanities, and more. Enhanced by the advancements in AI research, specifically with LLMs like OpenAI's ChatGPT 3.5 and 4, this model offers profound potential to nurture research culture within universities by identifying barriers and proposing strategies to surmount them, drawing from international models for inspiration. This proposed decentered collaborative research model, despite constraints, holds immense promise in reinventing the research paradigm INTI International University 2023-12 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1875/1/joit2023_15r.pdf text en cc_by_4 http://eprints.intimal.edu.my/1875/2/323 Hutson, J. and Ratican, J. (2023) Leveraging Generative Agents: Autonomous AI with Simulated Personas for Interactive Simulacra and Collaborative Research. Journal of Innovation and Technology, 2023 (15). pp. 1-16. ISSN 2805-5179 http://ipublishing.intimal.edu.my/joint.html |
| spellingShingle | Q Science (General) QA75 Electronic computers. Computer science Hutson, J. Ratican, J. Leveraging Generative Agents: Autonomous AI with Simulated Personas for Interactive Simulacra and Collaborative Research |
| title | Leveraging Generative Agents: Autonomous AI with Simulated Personas
for Interactive Simulacra and Collaborative Research |
| title_full | Leveraging Generative Agents: Autonomous AI with Simulated Personas
for Interactive Simulacra and Collaborative Research |
| title_fullStr | Leveraging Generative Agents: Autonomous AI with Simulated Personas
for Interactive Simulacra and Collaborative Research |
| title_full_unstemmed | Leveraging Generative Agents: Autonomous AI with Simulated Personas
for Interactive Simulacra and Collaborative Research |
| title_short | Leveraging Generative Agents: Autonomous AI with Simulated Personas
for Interactive Simulacra and Collaborative Research |
| title_sort | leveraging generative agents: autonomous ai with simulated personas
for interactive simulacra and collaborative research |
| topic | Q Science (General) QA75 Electronic computers. Computer science |
| url | http://eprints.intimal.edu.my/1875/ http://eprints.intimal.edu.my/1875/ http://eprints.intimal.edu.my/1875/1/joit2023_15r.pdf http://eprints.intimal.edu.my/1875/2/323 |