MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents

Laszlo Barna Iantovics; Frank Emmert-Streib; Sabri Arik

doi:10.1016/j.cogsys.2017.04.006

MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents

Laszlo Barna Iantovics, Frank Emmert-Streib, Sabri Arik

Research output: Contribution to journal › Article › Scientific › peer-review

9 Citations (Scopus)

Abstract

We propose a novel metric called MetrIntMeas (Metric for the Intelligence Measuring) for an accurate and robust measurement of the difficult problem-solving intelligence of a swarm system. The metric allows the classification if a swarm system belongs to the same class with the systems which have a specific reference intelligence value. For proving the efficiency of the proposed metric we realized a case study on a swarm system specialized in solving a NP-hard problem. As an application of the proposed metric, we present the measurement of the swarm systems’ evolution in intelligence. We gave a new definition to the intelligent evolving systems. The evolution of intelligent systems can be verified using the proposed MetrIntMeas metric.

Original language	English
Pages (from-to)	17-29
Number of pages	13
Journal	Cognitive Systems Research
Volume	45
DOIs	https://doi.org/10.1016/j.cogsys.2017.04.006
Publication status	Published - 1 Oct 2017
Publication type	A1 Journal article-refereed

Keywords

Cognitive system
Collective intelligence
Computational hard problem
Intelligent evolving system
Intelligent system
Measuring machine intelligence

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Experimental and Cognitive Psychology
Cognitive Neuroscience
Artificial Intelligence

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10.1016/j.cogsys.2017.04.006

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title = "MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents",

abstract = "We propose a novel metric called MetrIntMeas (Metric for the Intelligence Measuring) for an accurate and robust measurement of the difficult problem-solving intelligence of a swarm system. The metric allows the classification if a swarm system belongs to the same class with the systems which have a specific reference intelligence value. For proving the efficiency of the proposed metric we realized a case study on a swarm system specialized in solving a NP-hard problem. As an application of the proposed metric, we present the measurement of the swarm systems{\textquoteright} evolution in intelligence. We gave a new definition to the intelligent evolving systems. The evolution of intelligent systems can be verified using the proposed MetrIntMeas metric.",

keywords = "Cognitive system, Collective intelligence, Computational hard problem, Intelligent evolving system, Intelligent system, Measuring machine intelligence",

author = "Iantovics, {Laszlo Barna} and Frank Emmert-Streib and Sabri Arik",

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T1 - MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents

AU - Iantovics, Laszlo Barna

AU - Emmert-Streib, Frank

AU - Arik, Sabri

PY - 2017/10/1

Y1 - 2017/10/1

N2 - We propose a novel metric called MetrIntMeas (Metric for the Intelligence Measuring) for an accurate and robust measurement of the difficult problem-solving intelligence of a swarm system. The metric allows the classification if a swarm system belongs to the same class with the systems which have a specific reference intelligence value. For proving the efficiency of the proposed metric we realized a case study on a swarm system specialized in solving a NP-hard problem. As an application of the proposed metric, we present the measurement of the swarm systems’ evolution in intelligence. We gave a new definition to the intelligent evolving systems. The evolution of intelligent systems can be verified using the proposed MetrIntMeas metric.

AB - We propose a novel metric called MetrIntMeas (Metric for the Intelligence Measuring) for an accurate and robust measurement of the difficult problem-solving intelligence of a swarm system. The metric allows the classification if a swarm system belongs to the same class with the systems which have a specific reference intelligence value. For proving the efficiency of the proposed metric we realized a case study on a swarm system specialized in solving a NP-hard problem. As an application of the proposed metric, we present the measurement of the swarm systems’ evolution in intelligence. We gave a new definition to the intelligent evolving systems. The evolution of intelligent systems can be verified using the proposed MetrIntMeas metric.

KW - Cognitive system

KW - Collective intelligence

KW - Computational hard problem

KW - Intelligent evolving system

KW - Intelligent system

KW - Measuring machine intelligence

U2 - 10.1016/j.cogsys.2017.04.006

DO - 10.1016/j.cogsys.2017.04.006

M3 - Article

AN - SCOPUS:85019885587

SN - 1389-0417

VL - 45

SP - 17

EP - 29

JO - Cognitive Systems Research

JF - Cognitive Systems Research

ER -

MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents

Abstract

Keywords

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ASJC Scopus subject areas

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