Alexandros Koliousis
Biographic Data
| ID | 9292807 |
|---|---|
| NAME | Alexandros Koliousis |
| GIVEN NAMES | Alexandros |
| FAMILY NAME | Koliousis |
| SIGNATURE | KOLIOUSIS A |
| AFFILIATIONS | Northeastern University London |
| ORCID | 0000-0003-3006-9802 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Computational philosophy
In this paper, we situate our computational approach to philosophy relative to other digital humanities and computational social science practices, based on reflections stemming from our research on the PolyGraphs project in social epistemology. We begin by describing PolyGraphs. An interdisciplinary project funded by the Academies (BA, RS, and RAEng) and the Leverhulme Trust, it uses philosophical simulations (Mayo-Wilson and Zollman, 2021) to s…
Misinformation and higher-order evidence
This paper uses computational methods to simultaneously investigate the epistemological effects of misinformation on communities of rational agents, while also contributing to the philosophical debate on ‘higher-order’ evidence (i.e. evidence that bears on the quality and/or import of one’s evidence). Modelling communities as networks of individuals, each with a degree of belief in a given target proposition, it simulates the introduction of unre…
Training philosopher engineers for better AI
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Training philosopher engineers for better AI
Computational philosophy
In this paper, we situate our computational approach to philosophy relative to other digital humanities and computational social science practices, based on reflections stemming from our research on the PolyGraphs project in social epistemology. We begin by describing PolyGraphs. An interdisciplinary project funded by the Academies (BA, RS, and RAEng) and the Leverhulme Trust, it uses philosophical simulations (Mayo-Wilson and Zollman, 2021) to s…
Misinformation and higher-order evidence
This paper uses computational methods to simultaneously investigate the epistemological effects of misinformation on communities of rational agents, while also contributing to the philosophical debate on ‘higher-order’ evidence (i.e. evidence that bears on the quality and/or import of one’s evidence). Modelling communities as networks of individuals, each with a degree of belief in a given target proposition, it simulates the introduction of unre…
Computer Science (3 works) · Adversarial Robustness in Machine Learning (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Computer security (1 work) · Engineering (1 work) · Engineering ethics (1 work) · Epistemology (1 work) · Epistemology, Ethics, and Metaphysics (1 work) · Ethics and Social Impacts of AI (1 work)