Multi-agent based simulation of universities as an innovation ecosystem based on knowledge flows

Jose Ramos-Filho; Celson Lima; Ruben Costa; Paulo Figueiras; João Sarraipa; Ricardo Jardim-Goncalves

doi:10.1109/ICE.2017.8280057

Multi-agent based simulation of universities as an innovation ecosystem based on knowledge flows

Jose Ramos-Filho, Celson Lima, Ruben Costa, Paulo Figueiras, João Sarraipa, Ricardo Jardim-Goncalves

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

This work presents the search for a simulation model of a university as an innovation ecosystem as far as educational knowledge is concerned. It is part of the effort to increase inclusion and decrease dropout occurrence made by the ACACIA project. An innovation ecosystem from a knowledge flow perspective conceptual model has been used, and the simulation model is to be implemented in the NetLogo multi agent environment.

Original language	English
Title of host publication	2017 International Conference on Engineering, Technology and Innovation
Subtitle of host publication	Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1480-1488
Number of pages	9
Volume	2018-January
ISBN (Electronic)	9781538607749
DOIs	https://doi.org/10.1109/ICE.2017.8280057
Publication status	Published - 2 Feb 2018
Event	23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017 - Madeira Island, Portugal Duration: 27 Jun 2017 → 29 Jun 2017

Conference

Conference	23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017
Country/Territory	Portugal
City	Madeira Island
Period	27/06/17 → 29/06/17

Keywords

agent-based modeling
computer intelligence
education
innovation ecosystems
knowledge flow simulation

Access to Document

10.1109/ICE.2017.8280057Licence: Unspecified

Cite this

Ramos-Filho, J., Lima, C., Costa, R., Figueiras, P., Sarraipa, J., & Jardim-Goncalves, R. (2018). Multi-agent based simulation of universities as an innovation ecosystem based on knowledge flows. In 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings (Vol. 2018-January, pp. 1480-1488). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICE.2017.8280057

Ramos-Filho, Jose ; Lima, Celson ; Costa, Ruben et al. / Multi-agent based simulation of universities as an innovation ecosystem based on knowledge flows. 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 1480-1488

@inproceedings{788e708461a54c099fa7caa755cf7220,

title = "Multi-agent based simulation of universities as an innovation ecosystem based on knowledge flows",

abstract = "This work presents the search for a simulation model of a university as an innovation ecosystem as far as educational knowledge is concerned. It is part of the effort to increase inclusion and decrease dropout occurrence made by the ACACIA project. An innovation ecosystem from a knowledge flow perspective conceptual model has been used, and the simulation model is to be implemented in the NetLogo multi agent environment.",

keywords = "agent-based modeling, computer intelligence, education, innovation ecosystems, knowledge flow simulation",

author = "Jose Ramos-Filho and Celson Lima and Ruben Costa and Paulo Figueiras and Jo{\~a}o Sarraipa and Ricardo Jardim-Goncalves",

note = "Sem pdf conforme despacho. funding from the European Union ERASMUS+ Program under grant agreement EAC/A04/2014 ACACIA. J. R. F. also thanks CAPES for the support during the elaboration of this work through its PDSE program.; 23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017 ; Conference date: 27-06-2017 Through 29-06-2017",

year = "2018",

month = feb,

day = "2",

doi = "10.1109/ICE.2017.8280057",

language = "English",

volume = "2018-January",

pages = "1480--1488",

booktitle = "2017 International Conference on Engineering, Technology and Innovation",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Ramos-Filho, J, Lima, C , Costa, R , Figueiras, P , Sarraipa, J & Jardim-Goncalves, R 2018, Multi-agent based simulation of universities as an innovation ecosystem based on knowledge flows. in 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. vol. 2018-January, Institute of Electrical and Electronics Engineers (IEEE), pp. 1480-1488, 23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017, Madeira Island, Portugal, 27/06/17. https://doi.org/10.1109/ICE.2017.8280057

Multi-agent based simulation of universities as an innovation ecosystem based on knowledge flows. / Ramos-Filho, Jose; Lima, Celson ; Costa, Ruben et al.
2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 1480-1488.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-agent based simulation of universities as an innovation ecosystem based on knowledge flows

AU - Ramos-Filho, Jose

AU - Lima, Celson

AU - Costa, Ruben

AU - Figueiras, Paulo

AU - Sarraipa, João

AU - Jardim-Goncalves, Ricardo

N1 - Sem pdf conforme despacho. funding from the European Union ERASMUS+ Program under grant agreement EAC/A04/2014 ACACIA. J. R. F. also thanks CAPES for the support during the elaboration of this work through its PDSE program.

PY - 2018/2/2

Y1 - 2018/2/2

N2 - This work presents the search for a simulation model of a university as an innovation ecosystem as far as educational knowledge is concerned. It is part of the effort to increase inclusion and decrease dropout occurrence made by the ACACIA project. An innovation ecosystem from a knowledge flow perspective conceptual model has been used, and the simulation model is to be implemented in the NetLogo multi agent environment.

AB - This work presents the search for a simulation model of a university as an innovation ecosystem as far as educational knowledge is concerned. It is part of the effort to increase inclusion and decrease dropout occurrence made by the ACACIA project. An innovation ecosystem from a knowledge flow perspective conceptual model has been used, and the simulation model is to be implemented in the NetLogo multi agent environment.

KW - agent-based modeling

KW - computer intelligence

KW - education

KW - innovation ecosystems

KW - knowledge flow simulation

UR - http://www.scopus.com/inward/record.url?scp=85047555782&partnerID=8YFLogxK

U2 - 10.1109/ICE.2017.8280057

DO - 10.1109/ICE.2017.8280057

M3 - Conference contribution

AN - SCOPUS:85047555782

VL - 2018-January

SP - 1480

EP - 1488

BT - 2017 International Conference on Engineering, Technology and Innovation

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017

Y2 - 27 June 2017 through 29 June 2017

ER -

Ramos-Filho J, Lima C , Costa R , Figueiras P , Sarraipa J , Jardim-Goncalves R. Multi-agent based simulation of universities as an innovation ecosystem based on knowledge flows. In 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. Vol. 2018-January. Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 1480-1488 doi: 10.1109/ICE.2017.8280057

Multi-agent based simulation of universities as an innovation ecosystem based on knowledge flows

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this