Frontiers of Brain-Inspired Autonomous Systems : How Does Defense R&D Drive the Innovations?

Ming HOU, Yingxu WANG, Ljiljana TRAJKOVIC, Konstantinos N. PLATANIOTIS, Sam KWONG, Mengchu ZHOU, Edward TUNSTEL, Imre J. RUDAS, Janusz KACPRZYK, Henry LEUNG

Research output: Journal PublicationsJournal Article (refereed)peer-review


A brain-inspired intelligent adaptive system (IAS) framework is developed toward fundamental breakthroughs in the cognitive bottleneck of humans and the incompetence of artificial intelligence (AI) under indeterministic conditions or with insufficient data. IASs have led to defense science and technology innovations for interaction-centered design (ICD) methodologies, human–autonomy symbiosis initiatives, and a trust framework synergizing key strategies on intention, measurability, performance, adaptivity, communication, transparency, and security (IMPACTS) for trustworthy mission-critical autonomous systems. These paradigms of emerging technologies empower highly automated systems to think and behave like humans for generating collective intelligence. IAS-based technologies have not only fostered the development of a series of novel theories and methodologies, such as brain-inspired systems and the ICD approach, but also have paved unprecedented paths to innovative applications in the defense and general industries.
Original languageEnglish
Pages (from-to)8-20
Number of pages13
JournalIEEE Systems, Man and Cybernetics Magazine
Issue number2
Early online date25 Apr 2022
Publication statusPublished - Apr 2022
Externally publishedYes


  • Industries
  • Symbiosis
  • Technological innovation
  • Autonomous systems
  • Military computing
  • Mission critical systems
  • Collective intelligence


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