A standard form of citation of this article is:
Nickles, Matthias, Rovatsos, Michael, Schmitt, Marco, Brauer, Wilfried, Fischer, Felix, Malsch, Thomas, Paetow, Kai and Weiss, Gerhard (2007). 'The Empirical Semantics Approach to Communication Structure Learning and Usage: Individualistic Vs. Systemic Views'. Journal of Artificial Societies and Social Simulation 10(1)5 <https://www.jasss.org/10/1/5.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{nickles2007,
title = {The Empirical Semantics Approach to Communication Structure Learning and Usage: Individualistic Vs. Systemic Views},
author = {Nickles, Matthias and Rovatsos, Michael and Schmitt, Marco and Brauer, Wilfried and Fischer, Felix and Malsch, Thomas and Paetow, Kai and Weiss, Gerhard},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {10},
number = {1},
pages = {5},
year = {2007},
URL = {https://www.jasss.org/10/1/5.html},
keywords = {Agent Communication, Open Multiagent Systems, Social Systems Theory, Symbolic Interactionism, Pragmatism, Computational Pragmatics},
abstract = {In open systems of artificial agents, the meaning of communication in part emerges from ongoing interaction processes. In this paper, we present the empirical semantics approach to inductive derivation of communication semantics that can be used to derive this emergent semantics of communication from observations. The approach comes in two complementary variants: One uses social systems theory, focusing on system expectation structures and global utility maximisation, and the other is based on symbolic interactionism, focusing on the viewpoint and utility maximisation of the individual agent. Both these frameworks make use of the insight that the most general meaning of agent utterances lies in their expectable consequences in terms of observable events, and thus they strongly demarcate themselves from traditional approaches to the semantics and pragmatics of agent communication languages.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - The Empirical Semantics Approach to Communication Structure Learning and Usage: Individualistic Vs. Systemic Views
AU - Nickles, Matthias
AU - Rovatsos, Michael
AU - Schmitt, Marco
AU - Brauer, Wilfried
AU - Fischer, Felix
AU - Malsch, Thomas
AU - Paetow, Kai
AU - Weiss, Gerhard
Y1 - 2007/01/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 10
IS - 1
SP - 5
UR - https://www.jasss.org/10/1/5.html
KW - Agent Communication
KW - Open Multiagent Systems
KW - Social Systems Theory
KW - Symbolic Interactionism
KW - Pragmatism
KW - Computational Pragmatics
N2 - In open systems of artificial agents, the meaning of communication in part emerges from ongoing interaction processes. In this paper, we present the empirical semantics approach to inductive derivation of communication semantics that can be used to derive this emergent semantics of communication from observations. The approach comes in two complementary variants: One uses social systems theory, focusing on system expectation structures and global utility maximisation, and the other is based on symbolic interactionism, focusing on the viewpoint and utility maximisation of the individual agent. Both these frameworks make use of the insight that the most general meaning of agent utterances lies in their expectable consequences in terms of observable events, and thus they strongly demarcate themselves from traditional approaches to the semantics and pragmatics of agent communication languages.
ER -