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Modelling agents Roles in the Epistemic Logic L-DINF 20

Modelling Agents Roles in the Epistemic Logic L-DINF

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20th international workshop on Non-Monotonic Reasoning, NMR 2022

作者： Costantini, Stefania Formisano, Andrea Pitoni, Valentina Via Vetoio 1 L'Aquila67100 Italy Via delle Scienze 206 Udine33100 Italy INdAM - GNCS Piazzale Aldo Moro 5 Roma00185 Italy

In this paper, we further advance a line of work aimed to formally model via epistemic logic (aspects of) the group dynamics of cooperative agents. In fact, we have previously proposed and here extend a particular logical framework (the Logic of "Inferable"L-DINF), where a group of cooperative agents can jointly perform actions. I.e., at least one agent of the group can perform the action, either with the approval of the group or on behalf of the group. In this paper, we introduce agents' roles within a group. We choose to model roles in terms of the actions that each agent is enabled by its group to perform. We extend the semantics and the proof of strong completeness of our logic, and we show the usefulness of the new extension via a significant example. © 2022 Copyright for this paper by its authors.

关键词： multi agent systems

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Teaching Object-Oriented Requirements Techniques: An Experiment 17th

Teaching Object-Oriented Requirements Techniques: An Experim...

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17th international KES Conference on agents and multi-agent systems: Technologies and Applications, KES-AMSTA 2023

作者： Naumcheva, Maria Innopolis University Innopolis Russia University of Toulouse/IRIT Toulouse France

ISBN: (纸本)9789819930678

Scenario-based software requirements specifications, due to limitations of natural language and scenarios, lack precision and abstraction. Formal methods address this problem, but are rarely used. A Unified Object-Oriented (OO) approach complements the simplicity and appeal of scenario techniques with the rigor and clarity of software contracts. In this study we conduct a teaching experiment to evaluate the perception of usefulness and difficulty of the approach. the obtained results demonstrate that the unified OO requirements approach has a potential to be adopted by requirements engineering practitioners. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Object oriented programming

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BOSS: A dataset to train ML-based systems to repair programs with out-of-bounds write flaws 5

BOSS: A dataset to train ML-based systems to repair programs...

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5th ACM/IEEE international workshop on Automated Program Repair (APR)

作者： Yadav, Anurag Swarnim Wilson, Joseph N. Univ Florida Gainesville FL 32611 USA

ISBN: (纸本)9798350353020;9798400705779

C and C++ are widely-used, mature programming languages. they have been extensively used in development of projects such as Linux, Windows, YouTube, Adobe, Firefox, and Google Chrome. Due to poor memory safety, C and C++ programs are vulnerable to security attacks as are programs in languages that depend on C/C++ library code. As per the Common Weakness Enumeration (CWE), out-of-bounds (OOB) write in C/C++ programs topped the list of the 25 most dangerous software weakness in 2021 and 2022. Fixing OOB write at the source code level still requires human experts. this is a tedious task that may result in erroneous programs. In this paper we propose a technique to create a data set of corresponding flawed and correct programs that can be used to perform supervised training of deep-learning models to automate the process of detecting and patching OOB writes. the proposed technique has two elements: collecting a set of C/C++ programs from online sources (correct programs) and injecting OOB write errors into them, thus yielding a set of corresponding flawed programs. In this paper we focus on four main flaws associated with OOB writes: faulty access, faulty declaration, faulty guard in loops, and faulty usage of memory-write APIs. We have found that popular fault localization tools can not localize complicated bugs in our buffer overflow sample set (BOSS). In addition, the current state-of-the-art machine learning security flaw repair tool could not repair any of the bugs in a randomly selected set of BOSS samples and, in some cases, generated out-of-bound writes as suggested patches. these results lead us to conclude that the bugs injected by our tool are significant and our dataset is useful for training neural program repair models. We also propose two data-augmentation techniques to overcome problems associated with limited-size corpora.

关键词： C/C plus buffer-overwrite software vulnerabilities machine-learning based program repair dataset

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multi-agent Online Planning Architecture for Real-time Compliance 17

Multi-agent Online Planning Architecture for Real-time Compl...

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17th international Rule Challenge and 7th Doctoral Consortium @ RuleM+RR, RuleML+RR-Companion 2023

作者： Hayashi, Hisashi Mitsikas, theodoros Taheri, Yousef Tsushima, Kanae Schäfermeier, Ralph Bourgne, Gauvain Ganascia, Jean-Gabriel Paschke, Adrian Satoh, Ken Advanced Institute of Industrial Technology Tokyo Japan National Technical University of Athens Zografou Greece Institut für Angewandte Informatik Leipzig Germany Sorbonne University Paris France National Institute of Informatics Tokyo Japan Leipzig University Leipzig Germany Freie Universität Berlin Fraunhofer FOKUS Berlin Germany SOKENDAI Tokyo Japan

Due to the recent rapid introduction of AI technologies into society, we face new risks related to AI. therefore, it is very important to let AI be compliant with legal and ethical norms to reduce such risks. In this paper, we propose a method of compliance mechanism of AI agent planning in a multi-agent setting. We formalize legal norms as hard constraints which must be satisfied and ethical norms as soft constraints which should be satisfied as much as possible. Moreover, our mechanism can handle real-time exogenous environmental change by a replanning mechanism. We believe that our architecture is an important step towards "trustworthy AI". © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： multi agent systems

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5th IEEE Conference on Dependable and Secure Computing, DSC 2022 and SECSOC 2022 workshop, PASS4IoT 2022 workshop SICSA international Paper/Poster Competition in Cybersecurity

5th IEEE Conference on Dependable and Secure Computing, DSC ...

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5th IEEE Conference on Dependable and Secure Computing, DSC 2022

ISBN: (纸本)9781665421416

the proceedings contain 45 papers. the topics discussed include: show me your attach request and I'll tell you who you are: practical fingerprinting attacks in 4G and 5G mobile networks;a scary peek into the future: advanced persistent threats in emerging computing environments;reliability models and analysis for triple-model with triple-input machine learning systems;security orchestration, automation, and response engine for deployment of behavioral honeypots;a co-evolutionary algorithm-based malware adversarial sample generation method;securing password authentication for web-based applications;graph neural network-based android malware classification with jumping knowledge;multi-task learning model based on multiple characteristics and multiple interests for CTR prediction;device-to-device task offloading in a stochastic invalid-device scenario with social awareness;and a novel approach for providing client-verifiable and efficient access to private smart contracts.

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Running Regular Research Seminar Online 17th

Running Regular Research Seminar Online

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17th international KES Conference on agents and multi-agent systems: Technologies and Applications, KES-AMSTA 2023

作者： Shilov, N.V. Kondratyev, D.A. Kudasov, N. Anureev, I.S. Innopolis University Innopolis Russia A.P. Ershov Institute of Informatics Systems Novosibirsk Russia

ISBN: (纸本)9789819930678

We present profile and experience of a hybrid seminar on fundamental issues of software engineering, theory and experimental programming ru-STEP (= russian seminar on Software Engineering, theory and Experimental programming) during 30 months of its history. the seminars was launched 3 months before COVID-19 outbreak, worked during two years of COVID-19, survived and continues its work after COVID-19 restrictions were dropped. We do not attempt to provide a comprehensive study or systematic review of world-wide experience to run online research seminars (especially in time of COVID-19) that need more studies and could be a topic for later research. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Software engineering

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Cognitive Learning agents for Autonomous Mobility on Demand systems 45

Cognitive Learning Agents for Autonomous Mobility on Demand ...

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Joint of 45th German Conference on Artificial Intelligence workshops, Tutorials and Doctoral Consortium, KI-JP 2022

作者： Erduran, Ömer Ibrahim Department of Computer Science Goethe University Frankfurt am Main Germany

In my PhD thesis, the concept of Cognitive agents with extended Learning capabilities for Autonomous Mobility on Demand (AMoD) scenarios is investigated. Specifically, the focus is set on the Ride-hailing concept with a fleet of autonomously driving vehicles. the agent-based approach provides the possibility to consider cognitive agent architectures for different types of agents in the given scenario. In this regard, the vehicle agents are built up based on the Belief-Desire-Intention (BDI) architecture. My dissertation combines two paradigms that are considered significant research areas, namely Machine learning (ML) and agent-oriented programming (AOP). therefore, a structured overview of the research made so far is provided pointing out significant areas in the AMoD application scenario which are worthwhile to work on. For each of the areas, I describe why the setting and combination of MAS and ML are relevant and interesting for in-depth investigation. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： multi agent systems

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Neural Networks in Imandra: Matrix Representation as a Verification Choice 5th

Neural Networks in Imandra: Matrix Representation as a Verif...

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5th international workshop on Formal Methods for ML-Enabled Autonomous systems (FoMLAS)

作者： Desmartin, Remi Passmore, Grant Kommendentskaya, Ekaterina Heriot Watt Univ Edinburgh Midlothian Scotland Imandra Austin TX USA

ISBN: (纸本)9783031212215;9783031212222

the demand for formal verification tools for neural networks has increased as neural networks have been deployed in a growing number of safety-critical applications. Matrices are a data structure essential to formalising neural networks. Functional programming languages encourage diverse approaches to matrix definitions. this feature has already been successfully exploited in different applications. the question we ask is whether, and how, these ideas can be applied in neural network verification. A functional programming language Imandra combines the syntax of a functional programming language and the power of an automated theorem prover. Using these two key features of Imandra, we explore how different implementations of matrices can influence automation of neural network verification.

关键词： Neural networks Matrices Formal verification Functional programming Imandra

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An Epistemic Logic for Modular Development of multi-agent systems 1

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9th international workshop on Engineering multi-agent systems (EMAS)

作者： Costantini, Stefania Formisano, Andrea Pitoni, Valentina Univ Aquila DISIM Laquila Italy Univ Udine DMIF Udine Italy Grp Nazl Calcolo Sci INdAM Rome Italy

ISBN: (数字)9783030974572

ISBN: (纸本)9783030974572;9783030974565

Logic has been proved useful to model various aspects of the reasoning process of agents and multi-agent systems (MAS). In this paper, we report about the last advances over a line of work aimed to explore social aspects of such systems. the objective is to formally model (aspects of) the group dynamics of cooperative agents. We have proposed and here extend a particular logical framework (the Logic of "Inferable" L-DINF), where a group of cooperative agents can jointly perform actions. I.e., at least one agent of the group can perform the action, either with the approval of the group or on behalf of the group. We have been able to take into consideration actions' cost and the preferences that each agent can have for what concerns performing each action. Our focus here is on: (i) explainability, i.e., the syntax of our logic is especially devised to make it possible to transpose a proof into a natural language explanation, in the perspective of trustworthy Artificial Intelligence;(ii) the capability to construct and execute joint plans within a group of agents;(iii) the formalization of aspects of the theory of Mind, which is an important social-cognitive skill involving the ability to attribute mental states, including emotions, desires, beliefs, and knowledge to oneself and to others, and to reason about the practical consequences of such mental states;such capability is very relevant when agents have to interact with humans, and in particular in robotic applications;(iv) connection between theory and practice, so as to make our logic actually usable by a system's designers.

关键词： Epistemic logic agents and multi-agent systems theory of Mind

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EPMC Gets Knowledge in multi-agent systems 1

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23rd international Conference on Verification, Model Checking, and Abstract Interpretation (VMCAI) part of the 49th ACM SIGPLAN Symposium on Principles of programming Languages (POPL)

作者： Fu, Chen Hahn, Ernst Moritz Li, Yong Schewe, Sven Sun, Meng Turrini, Andrea Zhang, Lijun Chinese Acad Sci Inst Software State Key Lab Comp Sci Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Univ Twente Enschede Netherlands Univ Liverpool Liverpool England Peking Univ Sch Math Sci LMAM Beijing Peoples R China Peking Univ Sch Math Sci Dept Informat Sci Beijing Peoples R China Inst Intelligent Software Guangzhou Peoples R China

ISBN: (数字)9783030945831

ISBN: (纸本)9783030945824;9783030945831

In this paper, we present EPMC, an extendible probabilistic model checker. EPMC has a small kernel, and is designed modularly. It supports discrete probabilistic models such as Markov chains and Markov decision processes. Like PRISM, it supports properties specified in PCTL*. Two central advantages of EPMC are its modularity and extendibility. We demonstrate these features by extending EPMC to EPMC-PETL, a model checker for probabilistic epistemic properties on multi-agent systems. EPMC-petl takes advantage of EPMC to provide two model checking algorithms for multi-agent systems with respect to probabilistic epistemic logic: an exact algorithm based on SMT techniques and an approximated one based on UCT. multi-agent systems and epistemic properties are given in an extension of the modelling language of PRISM, making it easy to model this kind of scenarios.

关键词： multi agent systems

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