Towards Knowledge Ecosystems: Modelling Knowledge Dynamics in Environmental Systems

Jörg Rainer Noennig; Anna Maria Scheler; Katarzyna Piskorek; Jan Barski

doi:10.1016/j.procs.2014.08.179

Towards Knowledge Ecosystems: Modelling Knowledge Dynamics in Environmental Systems

Jörg Rainer Noennig^*, Anna Maria Scheler, Katarzyna Piskorek, Jan Barski

^*Corresponding author for this work

Abstract

In order to understand basic mechanisms of so-called Knowledge Ecosystems, the paper presents a study for modelling the emergence and diffusion of knowledge in regards to environmental conditions. The text gives an outline for the description of Knowledge Ecosystems by integrating 1) models for environmental dynamics based on resources and attractiveness, and 2) models for knowledge dynamics based on the behaviors and processes of knowledge agents (innovators) and agencies. As key methods, the work employs Cellular Automata for the modelling of knowledge environments, as well as agent models for the simulation of knowledge agents (innovators). The paper presents preliminary results of the ongoing study, including a first version of both scopes integrated into one descriptive system.

Original language	English
Pages (from-to)	1360-1369
Number of pages	10
Journal	Procedia Computer Science
Volume	35
Issue number	C
DOIs	https://doi.org/10.1016/j.procs.2014.08.179
Publication status	Published - 2014
Externally published	Yes
Event	18th Annual Conference on Knowledge-Based and Intelligent Information & Engineering Systems 18th (KES 2014) - Gdynia, Poland Duration: 15 Sept 2014 → 17 Sept 2014

Keywords

Agent modelling
Cellular automaton
Knowledge dynamics
Knowledge ecosystems

Access to Document

10.1016/j.procs.2014.08.179Licence: CC BY-NC-ND

Cite this

@article{7a363be6990946629e9c62a22539ac45,

title = "Towards Knowledge Ecosystems: Modelling Knowledge Dynamics in Environmental Systems",

abstract = "In order to understand basic mechanisms of so-called Knowledge Ecosystems, the paper presents a study for modelling the emergence and diffusion of knowledge in regards to environmental conditions. The text gives an outline for the description of Knowledge Ecosystems by integrating 1) models for environmental dynamics based on resources and attractiveness, and 2) models for knowledge dynamics based on the behaviors and processes of knowledge agents (innovators) and agencies. As key methods, the work employs Cellular Automata for the modelling of knowledge environments, as well as agent models for the simulation of knowledge agents (innovators). The paper presents preliminary results of the ongoing study, including a first version of both scopes integrated into one descriptive system.",

keywords = "Agent modelling, Cellular automaton, Knowledge dynamics, Knowledge ecosystems",

author = "Noennig, \{J{\"o}rg Rainer\} and Scheler, \{Anna Maria\} and Katarzyna Piskorek and Jan Barski",

note = "Publisher Copyright: {\textcopyright} 2014 The Authors. Published by Elsevier B.V.; 18th Annual Conference on Knowledge-Based and Intelligent Information \& Engineering Systems 18th (KES 2014) ; Conference date: 15-09-2014 Through 17-09-2014",

year = "2014",

doi = "10.1016/j.procs.2014.08.179",

language = "English",

volume = "35",

pages = "1360--1369",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier",

number = "C",

}

TY - JOUR

T1 - Towards Knowledge Ecosystems

T2 - 18th Annual Conference on Knowledge-Based and Intelligent Information & Engineering Systems 18th (KES 2014)

AU - Noennig, Jörg Rainer

AU - Scheler, Anna Maria

AU - Piskorek, Katarzyna

AU - Barski, Jan

PY - 2014

Y1 - 2014

N2 - In order to understand basic mechanisms of so-called Knowledge Ecosystems, the paper presents a study for modelling the emergence and diffusion of knowledge in regards to environmental conditions. The text gives an outline for the description of Knowledge Ecosystems by integrating 1) models for environmental dynamics based on resources and attractiveness, and 2) models for knowledge dynamics based on the behaviors and processes of knowledge agents (innovators) and agencies. As key methods, the work employs Cellular Automata for the modelling of knowledge environments, as well as agent models for the simulation of knowledge agents (innovators). The paper presents preliminary results of the ongoing study, including a first version of both scopes integrated into one descriptive system.

AB - In order to understand basic mechanisms of so-called Knowledge Ecosystems, the paper presents a study for modelling the emergence and diffusion of knowledge in regards to environmental conditions. The text gives an outline for the description of Knowledge Ecosystems by integrating 1) models for environmental dynamics based on resources and attractiveness, and 2) models for knowledge dynamics based on the behaviors and processes of knowledge agents (innovators) and agencies. As key methods, the work employs Cellular Automata for the modelling of knowledge environments, as well as agent models for the simulation of knowledge agents (innovators). The paper presents preliminary results of the ongoing study, including a first version of both scopes integrated into one descriptive system.

KW - Agent modelling

KW - Cellular automaton

KW - Knowledge dynamics

KW - Knowledge ecosystems

U2 - 10.1016/j.procs.2014.08.179

DO - 10.1016/j.procs.2014.08.179

M3 - Journal Article

AN - SCOPUS:84924212212

SN - 1877-0509

VL - 35

SP - 1360

EP - 1369

JO - Procedia Computer Science

JF - Procedia Computer Science

IS - C

Y2 - 15 September 2014 through 17 September 2014

ER -