The Liquid Computing Paradigm
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The document discusses challenges with traditional software engineering paradigms for complex adaptive systems and proposes a new "liquid computing" paradigm. Specifically: (1) Traditional approaches fail to address the increasing complexity of software and need for self-adaptation. (2) Existing paradigms lose information during deployment and development that is needed for self-adaptive systems. (3) The "liquid computing" paradigm blends development and runtime, uses autonomous learning techniques, distributes control across systems, and maintains a library of strategies.
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Enabling Lean at Enterprise Scale: Lean Engineering in Action
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Final FoCAS Newsletter, Issue Eight, Winter 2016
The document discusses the development of a new simulator software called Kilombo for swarm robotics research using Kilobot robots. Kilombo was created by the Swarm-Organ project to allow for more efficient testing and exploration of swarm robotics algorithms compared to using physical robots. It aims to be fast, accurate, and able to run the same program code as the real Kilobots in order to streamline the transition between simulation and physical experimentation. Details are provided on the Kilobot platform and limitations of existing simulators, with the goal of Kilombo being directly compatible code that can be tested on simulations and transferred to real robots.
Optimal Floor Heating
Marco Muniz (CASSTING Project) talk from the FoCAS Networking Session at ICT 2015: Perspectives on Collectives-Scientific Insights on Collective Adaptive Systems.
Advanced Manufacturing: An Industrial Application for Collective Adaptive Sys...
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FoCAS Newsletter Issue Seven
Autumn 2015 edition of the FoCAS Newsletter.
FoCAS is a Future and Emerging Technologies Proactive Initiative funded by the European Commission under FP7
Wrangling Complex Systems
This document discusses how lifelike behaviors can emerge in complex physical systems outside of biological organisms. It provides examples from fields like thermodynamics, astrophysics, chemistry, evolution, technology, and biogeophysics that exhibit self-replication, inference, and other behaviors we typically associate with living things. The author argues that we should treat these complex systems as if they were biological and investigate the mathematical similarities between living and non-living systems more rigorously, rather than assuming the differences. While acknowledging key differences, the author suggests different explanatory stances can be taken and that concepts from biology may help understand complex systems like economies and climate that seem to have behaviors of their own.
Sustainability Challenges In A Complex World
This document discusses the complexity of the Earth system and sustainability challenges. It notes that the Earth is a complex system with living and non-living parts that interact across all scales. Models have been developed to understand and simulate this complex system, but they simplify and only capture certain components. The goals for the Earth system have also become more complex over time, ranging from harmony between humanity and nature to the current 17 UN Sustainable Development Goals. Managing this complex, evolving system presents significant challenges.
FoCAS Newsletter Issue Six
Issue six of the FET EU funded Coordination Action newsletter - FoCAS: Fundamentals of Collective Adaptive Systems
FoCAS Newsletter Issue Five
The newsletter provides updates on the FoCAS Coordination Action Initiative including upcoming events like a talk on collective adaptive systems and robot evolution. It also summarizes recent FoCAS events at conferences and a training app sprint. The newsletter announces that FoCAS has adopted two new projects on adaptive security/privacy and collective motion and has over 300 members.
Temporal logics for multi-agent systems
This document discusses temporal logics for multi-agent systems. It introduces Computation Tree Logic (CTL) and Alternating-Time Temporal Logic (ATL) for expressing properties of reactive and multi-agent systems. It then presents ATL with strategy contexts (ATLsc), which extends ATL with additional strategy quantifiers to express properties involving strategies. ATLsc is shown to be strictly more expressive than ATL and as expressive as Quantified CTL. The document discusses examples of properties that can be expressed in ATLsc, such as interactions between clients and servers accessing a shared resource and existence of Nash equilibria.
Advanced Systems Engineering
This document discusses complex systems of systems (SoS) and challenges in modeling and analyzing them. It provides an overview of Kim Larsen's activities related to SoS, including research projects on safety critical systems, smart grids, intelligent buildings, and more. It also outlines key features of SoS like their distributed, collaborative, large-scale nature and challenges like adaptivity, openness, and meeting quantitative constraints. Directions for addressing issues like dynamic behavior, game theory, correctness and optimization are mentioned.
Artificial software diversity: automatic synthesis of program sosies
The document discusses artificial software diversity through the automatic synthesis of program variants called "sosies". A sosie is a variant of a program that conforms to the same specification but may have different code. The document explores how to automatically generate sosies through code transformations while maintaining functional equivalence. It evaluates different transformation techniques and presents preliminary results on generating sosies for test programs. Potential applications of sosies include improving software robustness, resilience, self-repair, and creating a "moving target" to increase uncertainty for attackers.
Tailored source-code-transformation-synthesize-computationally-diverse-progra...
This document discusses generating diverse variants of source code programs called "sosies" through tailored source code transformations. It presents research on:
1) Automatically synthesizing sosie programs that have the same specified behavior as the original program through statement additions, deletions, and replacements.
2) Evaluating the effectiveness of different transformation strategies like random changes or variable name-based replacements.
3) Analyzing the level of computation diversity exhibited by generated sosies through differences in method calls and variable usage.
The goal is to explore software robustness through large quantities of computationally diverse program variants. Experiments showed sosies could be generated for various programs and exhibited unpredictability in execution flows.
Search Diverse Models for Proactive Software Diversification
This document discusses software monocultures and the risks they pose due to vulnerabilities being widely shared. It proposes that software diversification through techniques like instruction set randomization and address space layout randomization can help mitigate these risks by making attacks less effective across multiple systems. The document argues that models and search-based software engineering (SBSE) can help automatically introduce diversity into applications and system architectures in a proactive way. An example is given of how models could represent a space of possible diverse configurations for deploying a multi-tier web application across different platforms and configurations.
Modelling Adaptation Policies As Domain-Specific Constraints
Diversify project presentation by Hui Song, Xiaodong Zhang, Nicolas Ferry, Franck Chauvel, Arnor Solberg, Gang Huang
Quantified NTL
Nicolas Markey: LSV { ENS Cachan
(joint work with Francois Laroussinie)
Nord-Pas-de-Calais { Belgium congress of mathematics
Valenciennes, 28 October 2013
SOCIAL ADAPTATION OF ROBOTS FOR MODULATING SELF-ORGANIZATION IN ANIMAL SOCIETIES
Presentation by Thomas Schmickl from the 2nd FoCAS Workshop on Collective Adaptive Systems at SASO 2014.
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Presentation by Iva Bojic at the 2nd FoCAS Workshop on the Fundamentals of Collective Adaptive Systems at SASO 2014.
Modelling residential smart energy schemes
Vashti Galpin presents a prototype model of a residential smart energy scheme using stochastic Hybrid Process Equations (HYPE) to model energy flow between households. The model represents four connected households that each have a wind turbine and electric vehicle. Experiments compare the total cost and energy usage under different sharing policies. Results show sharing unused renewable energy between households improves efficiency and reduces costs compared to not sharing. Extensions to model additional energy sources, storage and sharing policies at larger scales are discussed.
On the "Local-to-Global" Issue in Self-Organisation Chemical Reactions with C...
This document summarizes a talk about using custom kinetic rates in modeling self-organizing systems. It discusses the "local-to-global" issue in linking local interaction mechanisms to emergent global behavior. Existing approaches like simulation and parameter tuning have limitations. The talk proposes modeling self-organization primitives as artificial chemical reactions and engineering custom kinetic rates to better control dynamics. It demonstrates how custom rates can alter decay, feed, and activation/inhibition processes to achieve different global behaviors than the standard mass action rate law. Custom rates may enhance flexibility and controllability over emergent behavior.
Data verifi cation for collective adaptive systems: spatial model-checking of...
Vincenzo Ciancia, Stephen Gilmore, Diego Latella, Michele Loreti, Mieke Massink from 2nd FoCAS Workshop on Fundamentals of Collective Adaptive Systems at SASO 2014
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
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Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
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Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
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- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
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Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
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Presentation of the OECD Artificial Intelligence Review of Germany
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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The Liquid Computing Paradigm
- 1. The Liquid Computing Paradigm Thomas Gabor and Matthias H¨olzl Lehr- und Forschungseinheit Programmierung & Softwaretechnik Ludwig-Maximilians-Universit¨at M¨unchen Steering Complex Adaptive Systems & Fundamentals of Collective Adaptive Systems 20th July 2015, European Conference on Artificial Life 2015, University of York
- 2. Warning This is a talk about emerging trends in software engineering!
- 4. Traditional Software Engineering (in the field) time deployment requirements: development runtime
- 5. Challenges Software everywhere! complex software projects “absorb” real-life problems software developers face increasingly more complex problems ...but are not getting any smarter!
- 6. Challenges Software everywhere! complex software projects “absorb” real-life problems software developers face increasingly more complex problems ...but are not getting any smarter! Thus, software needs to get smarter... adapt to ever-changing environment/requirements guarantee functionality fail gracefully
- 8. Engineering Self-Adaptive Software (in the field) time deployment deployment offline development requirementsonline adaptation
- 9. Problems Engineering paradigms are not fit for collective adaptive systems De-centralization makes deployment difficult Self-adaptation makes guarantees difficult
- 10. Problems Engineering paradigms are not fit for collective adaptive systems De-centralization makes deployment difficult Self-adaptation makes guarantees difficult Information loss during the software’s life-cycle during deployment, the development history of the software is lost during development, the online adaptations of the system are lost
- 11. Suggestion #1 “Eternal Systems” (Nierstrasz et al., 2008) changes in the software are added as new artifacts with certain semantic relationships to existing ones old artifacts are never completely removed but used for tests or fall-back behavior, e.g.
- 12. Suggestion #1 “Eternal Systems” (Nierstrasz et al., 2008) changes in the software are added as new artifacts with certain semantic relationships to existing ones old artifacts are never completely removed but used for tests or fall-back behavior, e.g. But we need a meaningful way to choose between or combine multiple conflicting artifacts.
- 13. Suggestion #2 “Continuous Collaboration” (H¨olzl and Gabor, 2015) several “teachers” are programmed to propagate certain respective behavior inside the CAS their fight for success gives rise to an implicit evolutionary mechanic
- 14. Suggestion #2 “Continuous Collaboration” (H¨olzl and Gabor, 2015) several “teachers” are programmed to propagate certain respective behavior inside the CAS their fight for success gives rise to an implicit evolutionary mechanic But we need a respective pool of suitable candidate programs for our problem.
- 15. The Liquid Computing Paradigm time development + adaptation requirements
- 16. The Liquid Computing Paradigm “We envision the future of software development to be less like architecture, but more like gardening.” blending between design and run time pervasive use of autonomous learning techniques “ball of mud” scalability, no central instance of control large library of local strategies available among several systems
- 17. Thank You!