Abstract
| Lingua originale | English |
|---|---|
| Titolo della pubblicazione ospite | Towards Cognitive Cities |
| Pagine | 83-100 |
| Numero di pagine | 18 |
| Volume | 63 |
| Stato di pubblicazione | Published - 2016 |
Serie di pubblicazioni
| Nome | STUDIES IN SYSTEMS, DECISION AND CONTROL |
|---|
All Science Journal Classification (ASJC) codes
- Computer Science (miscellaneous)
- Decision Sciences (miscellaneous)
- Control and Optimization
- Economics, Econometrics and Finance (miscellaneous)
- Social Sciences (miscellaneous)
- Automotive Engineering
- Control and Systems Engineering
Cita questo
Towards the Improvement of Citizen Communication Through Computational Intelligence. / Tabacchi, Marco; Tabacchi, Marco Elio.
Towards Cognitive Cities. Vol. 63 2016. pag. 83-100 (STUDIES IN SYSTEMS, DECISION AND CONTROL).Risultato della ricerca: Chapter
}
TY - CHAP
T1 - Towards the Improvement of Citizen Communication Through Computational Intelligence
AU - Tabacchi, Marco
AU - Tabacchi, Marco Elio
PY - 2016
Y1 - 2016
N2 - When dealing with problems that arise from collective sharing of resources in metropolitan areas (i.e., energy, pollution, traffic, health) most of the interaction between citizens and local governance is usually carried out through the use of natural languages. Digital technologies allows smart cities residents to communicate with a broad range of experts (e.g. bureaucrats, legislators, urbanists, etc.) that routinely use technical terminology seldom accessible to the layperson, or linguistic styles that are not immediately understandable. Although information technology should encourage citizen participation in governance at many levels, the different levels of knowledge possessed by the actors can lead to incomprehension, as well as social exclusion. Computational Intelligence approaches can be used in order to alleviate such difficulties and improve the efficiency of communication through automation and collective cognitive systems. In this paper we discuss how use of techniques such as CWW and Fuzzy Classifiers can be beneficial toward the reduction of the communication gap between citizens and government
AB - When dealing with problems that arise from collective sharing of resources in metropolitan areas (i.e., energy, pollution, traffic, health) most of the interaction between citizens and local governance is usually carried out through the use of natural languages. Digital technologies allows smart cities residents to communicate with a broad range of experts (e.g. bureaucrats, legislators, urbanists, etc.) that routinely use technical terminology seldom accessible to the layperson, or linguistic styles that are not immediately understandable. Although information technology should encourage citizen participation in governance at many levels, the different levels of knowledge possessed by the actors can lead to incomprehension, as well as social exclusion. Computational Intelligence approaches can be used in order to alleviate such difficulties and improve the efficiency of communication through automation and collective cognitive systems. In this paper we discuss how use of techniques such as CWW and Fuzzy Classifiers can be beneficial toward the reduction of the communication gap between citizens and government
UR - http://hdl.handle.net/10447/201859
M3 - Chapter
SN - 978-3-319-33797-5
VL - 63
T3 - STUDIES IN SYSTEMS, DECISION AND CONTROL
SP - 83
EP - 100
BT - Towards Cognitive Cities
ER -