| Autor: |
Jing Liu, Zhiwen Pan, Jingce Xu, Bing Liang, Yiqiang Chen, Wen Ji |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
International Journal of Crowd Science, Vol 2, Iss 2, Pp 99-107 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2398-7294 |
| DOI: |
10.1108/IJCS-04-2018-0007 |
| Popis: |
Purpose - With the development of machine learning techniques, the artificial intelligence systems such as crowd networks are becoming more autonomous and smart. Therefore, there is a growing demand for developing a universal intelligence measurement so that the intelligence of artificial intelligence systems can be evaluated. This paper aims to propose a more formalized and accurate machine intelligence measurement method. Design/methodology/approach - This paper proposes a quality–time–complexity universal intelligence measurement method to measure the intelligence of agents. Findings - By observing the interaction process between the agent and the environment, we abstract three major factors for intelligence measure as quality, time and complexity of environment. Originality/value - This paper proposes a calculable universal intelligent measure method through considering more than two factors and the correlations between factors which are involved in an intelligent measurement. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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