Name
Title | ||
|---|---|---|
How to Create empathy and Understanding - Narrative Analytics in Agent-based Modeling. |
Abstract | ||
|---|---|---|
In this paper we propose a different approach for interacting and analyzing agent-based models. The approach relies on creating empathy and understanding between physical agents in the physical world (people) and artificial agents in the simulated world (simulated agents). We propose a simulated empathy framework (SEF) in which artificial agents communicate directly with physical agents through verbal channels and social media. We argue that artificial agents should focus on the communication aspects between these two worlds, the ability to tell their story in a compelling way, and to read between the lines of physical agents speech. We present an implementation of the SEF and discuss challenges associated with implementing the framework in an artificial society. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/WSC.2018.8632267 | WSC |
Keywords | Field | DocType |
Analytical models,Data models,Aggregates,History,Runtime,Mathematical model,Sociology | Empathy,Data modeling,Social media,Systems engineering,Computer science,Physical agents,Narrative,Human–computer interaction,Artificial society,Analytics | Conference |
ISSN | ISBN | Citations |
0891-7736 | 978-1-5386-6572-5 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saikou Y. Diallo | 1 | 111 | 21.99 |
| Christopher J. Lynch | 2 | 16 | 7.15 |
| Krzysztof J. Rechowicz | 3 | 10 | 5.29 |
| Gregory Zacharewicz | 4 | 222 | 37.34 |