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CLASS: PUBLIC
SUMMARY:Special Track on Organic Computing @ARCS 2024
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 research
 es novel methods that are needed to finally build self-adaptive and self-or
 ganising systems that are capable of reliable operation in complex real-wor
 ld environments.\n\nThe ARCS conferences series has over 35 years of tradit
 ion reporting leading edge research in computer architecture and operating 
 systems. The focus of the 2024 conference will be on challenges for sustaib
 ´nabilty in high-performance computing and their impact on the whole system
  stack spanning from hardware layer to the software layer. Within the scope
  of the ARCS main conference, the special track on `Organic Computing’ focu
 sses on developments and open challenges in the field of self-adaptive and 
 self-organising systems embedded in real-world environments.\n\nContributio
 ns will be part of the conference proceedings. The proceedings of ARCS 2024
  are planned to be published in the Springer Lecture Notes on Computer Scie
 nce (LNCS) series. The conference will be a physical meeting with a social 
 program in Potsdam, Germany. To ensure a safest possible meeting for all pa
 rticipants, the organisation committee of ARCS will monitor the Corona situ
 ation closely and will take all necessary protection steps following govern
 ment guidelines as well as extra measures as needed.\n\nTopics of interest\
 n\n... are on a wide range of aspects of “Organic Computing”, including (bu
 t not limited to):\n\nA: Principles of OC Systems\n\n 	System and Agent Arc
 hitectures 	Systems Engineering 	Design Techniques and Processes 	Nature-In
 spiration to Deal with System Complexity 	Self-x Properties and Lifelike Qu
 alities 	Self-Organisation Schemes for Highly Decentralised Systems \n\nB: 
 Autonomous Learning Behaviour in Technical Systems\n\n 	Reinforcement Learn
 ing from Interaction 	Active Learning 	Transfer Learning 	Online Concept Dr
 ift/Shift and Novelty/Obsoleteness Detection 	Transductive Inference for Ef
 ficient Model Building 	Self-Awareness and Self-Reflection \n\nC: Self-Adap
 tation@Runtime\n\n 	Adaptive Monitoring and Control 	Mechanisms to deal wit
 h Continual Change 	Robustness and Flexibility 	Automated Algorithm (Re-)Co
 nfiguration & Selection 	Context-awareness and Transient Interfaces \n\nD: 
 Metrics and Quantification\n\n 	System Validation 	Verification 	Understand
 ing and Explanation 	Computational Trust 	Testbeds and Performance Analysis
  \n\nE: Hardware Solutions\n\n 	Adaptive Hardware 	Reconfigurable Hardware 
 	Embedded AI 	Self-Adaptive, Self-Optimising, Self-Healing Hardware 	Evolva
 ble Hardware 	Prototypes and Demonstrators \n\nF: Applications of OC Techno
 logy\n\n 	Novel Use Cases 	Case Study Reports 	Experience Reports \n\nImpor
 tant Dates\n\n 	 		 			Paper submission deadline:  			February 29, 2024 Mar
 ch 7, 2024 March 17, 2024 (extended) 		 		 			Notification of acceptance: 	
 		March 28, 2024 		 		 			Camera-ready papers: 			May 2, 2024 		 		 			Conf
 erence: 			May 14 – 16, 2024 		 	 \n\n\n\nOrganisation of the special track
 \n\n 	Anthony Stein (University of Hohenheim) 	Sven Tomforde (Christian-Alb
 rechts-Universität zu Kiel) 	Stefan Wildermann (Friedrich-Alexander-Univers
 ität Erlangen-Nürnberg) 
LOCATION:Potsdam
DTSTAMP:20240305T152957Z
DTSTART:20240514T070000Z
DTEND:20240516T150000Z
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