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SUMMARY:Special Track on Organic Computing @ARCS 2027
DESCRIPTION:Aims and Scope\n\nOrganic Computing postulates to equip technic
 al systems with ‘lifelike’ properties. Technically, this means to move trad
 itional design‑time decisions to runtime and into the responsibility of sys
 tems themselves. As a result, systems have a dramatically increased decisio
 n freedom that leads to highly autonomous behaviour. The goal of this proce
 ss is to allow for self‑adaptation and self‑improvement of system behaviour
  at runtime. Especially since conditions that occur at runtime can only be 
 anticipated to a certain degree, efficient mechanisms are needed that guide
  the system’s behaviour even in cases of missing knowledge or uncertain env
 ironmental states. Consequently, the research field of Organic Computing in
 vestigates fundamental principles, discusses essential aspects, and researc
 hes novel methods that are needed to finally build self‑adaptive and self‑o
 rganising systems that are capable of reliable operation in complex real‑wo
 rld environments.\n\nThe ARCS conferences series has over 39 years of tradi
 tion reporting leading edge research in computer architecture and operating
  systems. The focus of the 2027 conference will be on Unconventional Comput
 ing paradigms that go beyond Von Neumann architecture. Within the scope of 
 the ARCS main conference, the special track on `Organic Computing’ focusses
  on developments and open challenges in the field of designing self-adaptiv
 e and self-organising systems embedded in real-world environments.\n\nContr
 ibutions will be part of the conference proceedings. The proceedings of ARC
 S 2027 will be published in the Springer Lecture Notes on Computer Science 
 (LNCS) series. The conference will be a physical meeting with a social prog
 ram in Magdeburg, Germany.\n\n Topics of interest\n\n... are on a wide rang
 e of aspects of `Organic Computing', including (but not limited to):\n\n 	A
 : Principles of OC Systems 	 		System and Agent Architectures 		Systems Eng
 ineering 		Design Techniques and Processes 		Nature-Inspiration to Deal wit
 h System Complexity 		Self-x Properties and Lifelike Qualities 		Self-Organ
 isation Schemes for Highly Decentralised Systems 	 	 \n\n 	B: Autonomous Le
 arning Behaviour in Technical Systems 	 		Reinforcement Learning from Inter
 action 		Active Learning 		Transfer Learning 		Online Concept Drift/Shift a
 nd Novelty/Obsoleteness Detection 		Transductive Inference for Efficient Mo
 del Building 		Self-Awareness and Self-Reflection 	 	 \n\n 	C: Self-Adaptat
 ion@Runtime 	 		Adaptive Monitoring and Control 		Mechanisms to deal with C
 ontinual Change 		Robustness and Flexibility 		Automated Algorithm (Re-)Con
 figuration & Selection 		Context-awareness and Transient Interfaces 	 	 \n\
 n 	D: Metrics and Quantification 	 		System Validation 		Verification 		Und
 erstanding and Explanation 		Computational Trust 		Testbeds and Performance
  Analysis 	 	 \n\n 	E: Hardware Solutions 	 		Adaptive Hardware 		Reconfigu
 rable Hardware 		Embedded AI 		Self-Adaptive, Self-Optimising, Self-Healing
  Hardware 		Evolvable Hardware 		Prototypes and Demonstrators 	 	 \n\n 	F: 
 Applications of OC Technology 	 		Novel Use Cases 		Case Study Reports 		Ex
 perience Reports  	 	 \n\nImportant Dates\n\n 	 		 			Abstract submission d
 eadline 			December 14, 2026 		 		 			Paper submission deadline 			December
  21, 2026 		 		 			Notification of acceptance 			February 8, 2027 		 		 			
 Camera-ready papers 			February 24, 2027 		 		 			Conference (in Magdeburg,
  Germany) 			March 9-11, 2027 		 	 \n\n Submission Guidelines\n\nSubmission
 s should be done through EasyChair by selecting the `Organic Computing‘ tra
 ck. Papers must be submitted in PDF format.\n\nContributions must be format
 ted according to Springer LNCS style and must not exceed 15 pages plus refe
 rences.\n\nAll submission details incl. the page length and deadlines can b
 e found in the Submission Guidelines.\n\n Organisation of the special track
 \n\n 	Anthony Stein, Universität Hohenheim (anthony.stein@uni-hohenheim.de)
  	Sebastian von Mammen, Universität Würzburg (sebastian.von.mammen@uni-wuer
 zburg.de) 
LOCATION:Otto-von-Guericke Universität Magdeburg
DTSTAMP:20261008T071859Z
DTSTART:20270309T080000Z
DTEND:20270311T160000Z
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