Multiagent model for agile context inference based on articial immune systems and sparse distributed representations

Radu Casian Mihailescu; Paul Davidsson; Jan Persson

doi:10.1007/978-3-319-33509-4_7

Multiagent model for agile context inference based on articial immune systems and sparse distributed representations

Radu Casian Mihailescu^*
, Paul Davidsson
, Jan Persson

^*Corresponding author for this work

School of Mathematical & Computer Sciences

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

1 Citation (Scopus)

Abstract

The ubiquity of sensor infrastructures in urban environments poses new challenges in managing the vast amount of data being generated and even more importantly, deriving insights that are relevant and actionable to its users and stakeholders. We argue that understanding the context in which people and things are connected and interacting is of key importance to this end. In this position paper, we present ongoing work in the design of a multiagent model based on immunity theory concepts with the scope of enhancing sensor-driven architectures with context-aware capabilities. We aim to demonstrate our approach in a real-world scenario for processing streams of sensor data in a smart building.

Original language	English
Title of host publication	Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015
Editors	George Vouros, Michael Rovatsos, Vicente Julian
Publisher	Springer
Pages	82-87
Number of pages	6
ISBN (Electronic)	9783319335094
ISBN (Print)	9783319335087
DOIs	https://doi.org/10.1007/978-3-319-33509-4_7
Publication status	Published - 17 Apr 2016
Event	13th European Conference on Multi-Agent Systems and 3rd International Conference on Agreement Technologies 2015 - Athens, Greece Duration: 17 Dec 2015 → 18 Dec 2015

Publication series

Name	Lecture Notes in Computer Science
Volume	9571
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th European Conference on Multi-Agent Systems and 3rd International Conference on Agreement Technologies 2015
Abbreviated title	EUMAS and AT 2015
Country/Territory	Greece
City	Athens
Period	17/12/15 → 18/12/15

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-33509-4_7

Cite this

Mihailescu, R. C., Davidsson, P., & Persson, J. (2016). Multiagent model for agile context inference based on articial immune systems and sparse distributed representations. In G. Vouros, M. Rovatsos, & V. Julian (Eds.), Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015 (pp. 82-87). (Lecture Notes in Computer Science; Vol. 9571). Springer. https://doi.org/10.1007/978-3-319-33509-4_7

@inproceedings{80046efe922e4845921a1c7fa067cb20,

title = "Multiagent model for agile context inference based on articial immune systems and sparse distributed representations",

abstract = "The ubiquity of sensor infrastructures in urban environments poses new challenges in managing the vast amount of data being generated and even more importantly, deriving insights that are relevant and actionable to its users and stakeholders. We argue that understanding the context in which people and things are connected and interacting is of key importance to this end. In this position paper, we present ongoing work in the design of a multiagent model based on immunity theory concepts with the scope of enhancing sensor-driven architectures with context-aware capabilities. We aim to demonstrate our approach in a real-world scenario for processing streams of sensor data in a smart building.",

author = "Mihailescu, \{Radu Casian\} and Paul Davidsson and Jan Persson",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 13th European Conference on Multi-Agent Systems and 3rd International Conference on Agreement Technologies 2015, EUMAS and AT 2015 ; Conference date: 17-12-2015 Through 18-12-2015",

year = "2016",

month = apr,

day = "17",

doi = "10.1007/978-3-319-33509-4\_7",

language = "English",

isbn = "9783319335087",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "82--87",

editor = "George Vouros and Michael Rovatsos and Vicente Julian",

booktitle = "Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015",

}

Mihailescu, RC, Davidsson, P & Persson, J 2016, Multiagent model for agile context inference based on articial immune systems and sparse distributed representations. in G Vouros, M Rovatsos & V Julian (eds), Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015. Lecture Notes in Computer Science, vol. 9571, Springer, pp. 82-87, 13th European Conference on Multi-Agent Systems and 3rd International Conference on Agreement Technologies 2015, Athens, Greece, 17/12/15. https://doi.org/10.1007/978-3-319-33509-4_7

Multiagent model for agile context inference based on articial immune systems and sparse distributed representations. / Mihailescu, Radu Casian; Davidsson, Paul; Persson, Jan.
Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015. ed. / George Vouros; Michael Rovatsos; Vicente Julian. Springer, 2016. p. 82-87 (Lecture Notes in Computer Science; Vol. 9571).

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

TY - GEN

T1 - Multiagent model for agile context inference based on articial immune systems and sparse distributed representations

AU - Mihailescu, Radu Casian

AU - Davidsson, Paul

AU - Persson, Jan

PY - 2016/4/17

Y1 - 2016/4/17

N2 - The ubiquity of sensor infrastructures in urban environments poses new challenges in managing the vast amount of data being generated and even more importantly, deriving insights that are relevant and actionable to its users and stakeholders. We argue that understanding the context in which people and things are connected and interacting is of key importance to this end. In this position paper, we present ongoing work in the design of a multiagent model based on immunity theory concepts with the scope of enhancing sensor-driven architectures with context-aware capabilities. We aim to demonstrate our approach in a real-world scenario for processing streams of sensor data in a smart building.

AB - The ubiquity of sensor infrastructures in urban environments poses new challenges in managing the vast amount of data being generated and even more importantly, deriving insights that are relevant and actionable to its users and stakeholders. We argue that understanding the context in which people and things are connected and interacting is of key importance to this end. In this position paper, we present ongoing work in the design of a multiagent model based on immunity theory concepts with the scope of enhancing sensor-driven architectures with context-aware capabilities. We aim to demonstrate our approach in a real-world scenario for processing streams of sensor data in a smart building.

UR - https://www.scopus.com/pages/publications/84964018532

U2 - 10.1007/978-3-319-33509-4_7

DO - 10.1007/978-3-319-33509-4_7

M3 - Conference contribution

AN - SCOPUS:84964018532

SN - 9783319335087

T3 - Lecture Notes in Computer Science

SP - 82

EP - 87

BT - Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015

A2 - Vouros, George

A2 - Rovatsos, Michael

A2 - Julian, Vicente

PB - Springer

T2 - 13th European Conference on Multi-Agent Systems and 3rd International Conference on Agreement Technologies 2015

Y2 - 17 December 2015 through 18 December 2015

ER -

Multiagent model for agile context inference based on articial immune systems and sparse distributed representations

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this