Lee Gillam
Biographic Data
| ID | 3925835 |
|---|---|
| NAME | Lee Gillam |
| GIVEN NAMES | Lee |
| FAMILY NAME | Gillam |
| SIGNATURE | GILLAM L |
| AFFILIATIONS | University of Surrey |
| ORCID | 0000-0002-8884-1247 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 1 |
Deception detection
Deception detection for the tangled web
Deception is a reasonably common part of daily life that society sometimes demonstrates a degree of acceptance of, and occasionally people are very willing to be deceived. But can a computer identify deception and distinguish it from that which is not deceptive? We explore deception in various guises, differentiating it from lies, and highlighting the influence of medium and message in both deception and its detection. Our investigations to date …
Machine Ethics for Gambling in the Metaverse
Online gambling produces a substantial turnover. Unfortunately for potential virtual world gamblers and gambling organizations alike, US law had forced the closure of gambling in the Second Life virtual world. However, an Open Grid Protocol could lead to the provision of off-shore gambling in this virtual world. Aside from legal issues, online gambling generally gives rise to ethical issues relating to prevention of harm. We considered the combin…
Terminology and the construction of ontology
This paper discusses a method for corpus-driven ontology design: extracting conceptual hierarchies from arbitrary domain-specific collections of texts. These hierarchies can form the basis for a concept-oriented (onomasiological) terminology collection, and hence may be used as the basis for developing knowledge-based systems using ontology editors. This reference to ontology is explored in the context of collections of terms. The method presente…
Terminology and the construction of ontology
This paper discusses a method for corpus-driven ontology design: extracting conceptual hierarchies from arbitrary domain-specific collections of texts. These hierarchies can form the basis for a concept-oriented (onomasiological) terminology collection, and hence may be used as the basis for developing knowledge-based systems using ontology editors. This reference to ontology is explored in the context of collections of terms. The method presente…
Machine Ethics for Gambling in the Metaverse
Online gambling produces a substantial turnover. Unfortunately for potential virtual world gamblers and gambling organizations alike, US law had forced the closure of gambling in the Second Life virtual world. However, an Open Grid Protocol could lead to the provision of off-shore gambling in this virtual world. Aside from legal issues, online gambling generally gives rise to ethical issues relating to prevention of harm. We considered the combin…
Deception detection for the tangled web
Deception is a reasonably common part of daily life that society sometimes demonstrates a degree of acceptance of, and occasionally people are very willing to be deceived. But can a computer identify deception and distinguish it from that which is not deceptive? We explore deception in various guises, differentiating it from lies, and highlighting the influence of medium and message in both deception and its detection. Our investigations to date …
Deception detection
Computer Science (4 works) · Psychology (3 works) · Social Psychology (3 works) · Deception (2 works) · Deception detection and forensic psychology (2 works) · Epistemology (2 works) · Internet privacy (2 works) · Artificial Intelligence (1 work) · Aside (1 work) · Authorship Attribution and Profiling (1 work)