Multidisciplinary and Historical Perspectives for Developing Intelligent and Resource-Efficient Systems

Aarne Mämmelä (Corresponding Author), Jukka Riekki, Adrian Kotelba, Antti Anttonen

Research output: Contribution to journalReview ArticleScientificpeer-review

5 Citations (Scopus)

Abstract

As communication and computation systems become more complex and target at higher performance, the fundamental limits of nature can be expected to constrain their development and optimization. This calls for intelligent use of basic resources, that is, materials, energy, information, time, frequency, and space. We present a multidisciplinary and historical review on the body of knowledge that can be applied in researching such intelligent and resource-efficient systems. We review general system theory, decision theory, control theory, computer science, and communication theory. While multidisciplinarity has been recognized important, there are no earlier reviews covering all these five disciplines. Based on the review, we build a chronology of intelligent systems and identify connections between the disciplines. Optimization, decision-making, open- and closed-loop control, hierarchy, and degree of centralization turn out as recurring themes in these disciplines, which have converged to similar solutions that are based on remote control, automation, autonomy, and self-organization. We use future wireless networks as an example to illustrate the open questions and how they can be addressed by applying multidisciplinary knowledge. This paper can help researchers to use knowledge outside their own field and avoid repeating the work done already. The resulting consolidated view can speed up research and is especially important when the fundamental limits of nature are approached and new insights are required to overcome the challenges. The general, long-standing problem to be tackled is multiobjective optimization with autonomous and distributed decision-making in an uncertain, dynamic, and nonlinear environment where the objectives are mutually conflicting.

Original languageEnglish
Pages (from-to)17464-17499
Number of pages36
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - 15 Mar 2018
MoE publication typeA2 Review article in a scientific journal

Fingerprint

Decision making
Decision theory
Information theory
System theory
Intelligent systems
Remote control
Multiobjective optimization
Control theory
Computer science
Wireless networks
Automation
Communication

Keywords

  • Autonomous systems
  • Computer science
  • Control systems
  • Control theory
  • fundamental limits
  • History
  • multidisciplinary view
  • Optimization
  • resource efficiency
  • Systems thinking

Cite this

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abstract = "As communication and computation systems become more complex and target at higher performance, the fundamental limits of nature can be expected to constrain their development and optimization. This calls for intelligent use of basic resources, that is, materials, energy, information, time, frequency, and space. We present a multidisciplinary and historical review on the body of knowledge that can be applied in researching such intelligent and resource-efficient systems. We review general system theory, decision theory, control theory, computer science, and communication theory. While multidisciplinarity has been recognized important, there are no earlier reviews covering all these five disciplines. Based on the review, we build a chronology of intelligent systems and identify connections between the disciplines. Optimization, decision-making, open- and closed-loop control, hierarchy, and degree of centralization turn out as recurring themes in these disciplines, which have converged to similar solutions that are based on remote control, automation, autonomy, and self-organization. We use future wireless networks as an example to illustrate the open questions and how they can be addressed by applying multidisciplinary knowledge. This paper can help researchers to use knowledge outside their own field and avoid repeating the work done already. The resulting consolidated view can speed up research and is especially important when the fundamental limits of nature are approached and new insights are required to overcome the challenges. The general, long-standing problem to be tackled is multiobjective optimization with autonomous and distributed decision-making in an uncertain, dynamic, and nonlinear environment where the objectives are mutually conflicting.",
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Multidisciplinary and Historical Perspectives for Developing Intelligent and Resource-Efficient Systems. / Mämmelä, Aarne (Corresponding Author); Riekki, Jukka; Kotelba, Adrian; Anttonen, Antti.

In: IEEE Access, Vol. 6, 15.03.2018, p. 17464-17499.

Research output: Contribution to journalReview ArticleScientificpeer-review

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