DMCA
Towards Semiotic Agent-Based Models of Socio-Technical Organizations (2000)
| Venue: | in: Proc. AI and Simulation 2000, ed. HS Sarjoughian et al |
| Citations: | 17 - 1 self |
BibTeX
@INPROCEEDINGS{Joslyn00towardssemiotic,
author = {Cliff Joslyn and Luis M. Rocha},
title = {Towards Semiotic Agent-Based Models of Socio-Technical Organizations},
booktitle = {in: Proc. AI and Simulation 2000, ed. HS Sarjoughian et al},
year = {2000},
pages = {70--79}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
We present an approach to agent modeling of socio-technical organizations based on the principles of semiotics. After reviewing complex systems theory and traditional Artificial Life (ALife) and Artificial Intelligence (AI) approaches to agent-based modeling, we introduce the fundamental principles of semiotic agents as decision-making entities embedded in artificial environments and exchanging and interpreting semiotic tokens. We proceed to discuss the design requirements for semiotic agents, including those for artificial environments with a rich enough “virtual physics ” to support selected selforganization; semiotic agents as implementing a generalized control relation; and situated communication and shared knowledge within a community of such agents. We conclude with a discussion of the resulting properties of such systems for dynamical incoherence, and finally describe an application to the simulation of the decision structures of Command and Control Organizations. computer systems, and which themselves interact with a variety of physical systems in order to maintain them under conditions of good control. Primary examples of STOs include Command and Control Organizations (CCOs) such as 911/Emergency Response Systems (911/ERS) and military organizations, as well as utility infrastructures such as power grids, gas pipelines, and the Internet. The architecture of such systems is shown in Fig. 1, where a physical system is controlled by a computer-based information network, which in turn interacts with a hierarchically structured organization of semiotic agents. 1.
Keyphrases
socio-technical organization semiotic agent towards semiotic agent-based model control organization artificial environment physical system utility infrastructure complex system theory good control virtual physic gas pipeline agent-based modeling computer system fundamental principle turn interacts dynamical incoherence emergency response system power grid traditional artificial life artificial intelligence structured organization primary example control relation computer-based information network design requirement decision-making entity semiotic token decision structure military organization
