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SUMMARY:Special Track on Organic Computing @ARCS 2026
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 more than 38 years of 
 tradition reporting leading edge research in computer architecture and oper
 ating systems. The focus of the 2026 conference will be on Open Source Arch
 itectures from RISV-V to AI Accelerators. Within the scope of the ARCS main
  conference, the special track on `Organic Computing’ focusses on developme
 nts and open challenges in the field of designing self-adaptive and self-or
 ganising systems embedded in real-world environments.\n\nContributions will
  be part of the conference proceedings. The proceedings of ARCS 2026 will b
 e published in the Springer Lecture Notes on Computer Science (LNCS) series
 . The conference will be a physical meeting with a social program in Mainz,
  Germany.\n\n Topics of interest\n\n... are on a wide range of aspects of '
 Organic Computing', including (but not limited to):\n\nA: Principles of OC 
 Systems\n\n 	System and Agent Architectures 	Systems Engineering 	Design Te
 chniques and Processes 	Nature-Inspiration to Deal with System Complexity 	
 Self-x Properties and Lifelike Qualities 	Self-Organisation Schemes for Hig
 hly Decentralised Systems \n\nB: Autonomous Learning Behaviour in Technical
  Systems \n\n 	Reinforcement Learning from Interaction 	Active Learning 	Tr
 ansfer Learning 	Online Concept Drift/Shift and Novelty/Obsoleteness Detect
 ion 	Transductive Inference for Efficient Model Building 	Self-Awareness an
 d Self-Reflection \n\nC: Self-Adaptation@Runtime\n\n 	Adaptive Monitoring a
 nd Control 	Mechanisms to deal with Continual Change 	Robustness and Flexib
 ility 	Automated Algorithm (Re-)Configuration & Selection 	Context-awarenes
 s and Transient Interfaces \n\nD: Metrics and Quantification\n\n 	System Va
 lidation 	Verification 	Understanding and Explanation 	Computational Trust 
 	Testbeds and Performance Analysis \n\nE: Hardware Solutions\n\n 	Adaptive 
 Hardware 	Reconfigurable Hardware 	Embedded AI 	Self-Adaptive, Self-Optimis
 ing, Self-Healing Hardware 	Evolvable Hardware 	Prototypes and Demonstrator
 s \n\nF: Applications of OC Technology \n\n 	Novel Use Cases 	Case Study Re
 ports 	Experience Reports  \n\nImportant Dates\n\n 	 		 			Abstract submiss
 ion deadline 			January 11, 2026 January 19, 2026 February 1, 2026 (extende
 d) 		 		 			Paper submission deadline 			January 18, 2026 January 26, 2026 
 February 8, 2026 (extended) 		 		 			Notification of acceptance 			February
  12, 2026 March 5, 2026 (extended) 		 		 			Camera-ready papers 			March 16
 , 2026 (extended) 		 	 \n\n Submission Guidelines\n\nSubmissions should be 
 done through EasyChair by selecting the Organic Computing track. Papers mus
 t be submitted in PDF format. Contributions must be formatted according to 
 Springer LNCS style and must not exceed 15 pages, including figures and tab
 les plus 1 optional page only containing references. See https://arcs-confe
 rence.org/submission-guidelines for more details.\n\n Organisation of the s
 pecial track\n\n 	Anthony Stein, Universität Hohenheim (anthony.stein@uni-h
 ohenheim.de) 	Sven Tomforde, Christian-Albrechts-Universität zu Kiel (st@in
 formatik.uni-kiel.de) 	Stefan Wildermann, Friedrich-Alexander Universität E
 rlangen (stefan.wildermann@fau.de) 
LOCATION:Johannes Gutenberg University Mainz
DTSTAMP:20260227T092702Z
DTSTART:20260324T113000Z
DTEND:20260326T160000Z
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