Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence | Paper Citation Record

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This paper cites National Science Foundation, Cyber-physical systems (CPS), 2006.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence National Science Foundation, Cyber-physical systems (CPS), 2006

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This paper cites COHDA: A combinatorial optimization heuristic for dis- tributed agents.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence COHDA: A combinatorial optimization heuristic for dis- tributed agents

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This paper cites A lightweight distributed software agent for automatic de- mand—supply calculation in smart grids.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence A lightweight distributed software agent for automatic de- mand—supply calculation in smart grids

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This paper cites An evolutiona ry training algorithm for artiﬁcial neural networks with dynamic offspring spread and implicit gradient inform ation.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence An evolutiona ry training algorithm for artiﬁcial neural networks with dynamic offspring spread and implicit gradient inform ation

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Unresolved cited work

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This paper cites Agent-based power equilib rium in a smart grid with XBOOLE.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Agent-based power equilib rium in a smart grid with XBOOLE

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Unresolved cited work

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This paper cites Perspect ives on the validation and veriﬁcation of machine learning systems in the context of highly automated vehicle s.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Perspect ives on the validation and veriﬁcation of machine learning systems in the context of highly automated vehicle s

Reference 8

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This paper cites Alur, Principles of cyber-physical systems.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Alur, Principles of cyber-physical systems

Reference 9

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Observation 6fa3023f-c069-4b3d-8dc7-a238e509c2ac · outbound

This paper cites On the decidability of metr ic temporal logic.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence On the decidability of metr ic temporal logic

Reference 10

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This paper cites Øhrstrøm and P.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Øhrstrøm and P

Reference 11

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Unresolved cited work

Reference 12

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This paper cites Speciﬁcation and veriﬁc ation of concurrent systems in cesar.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Speciﬁcation and veriﬁc ation of concurrent systems in cesar

Reference 13

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This paper cites Fairness and related properties in transition sys tems—a temporal logic to deal with fairness.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Fairness and related properties in transition sys tems—a temporal logic to deal with fairness

Reference 14

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This paper cites Breach, a toolbox for veriﬁcation and parame ter synthesis of hybrid systems.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Breach, a toolbox for veriﬁcation and parame ter synthesis of hybrid systems

Reference 15

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This paper cites S-TaLiRo: A tool for temporal logic falsi- ﬁcation for hybrid systems.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence S-TaLiRo: A tool for temporal logic falsi- ﬁcation for hybrid systems

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This paper cites C2E2: A veriﬁcation tool for stateﬂow models.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence C2E2: A veriﬁcation tool for stateﬂow models

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This paper cites Efﬁcient guiding strategies for testing of temporal properties of hybrid systems.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Efﬁcient guiding strategies for testing of temporal properties of hybrid systems

Reference 18

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This paper cites Design and synthesis of s ynchronization skeletons using branching time temporal logic.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Design and synthesis of s ynchronization skeletons using branching time temporal logic

Reference 19

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This paper cites Frege’s logic, theorem, and foundations f or arithmetic.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Frege’s logic, theorem, and foundations f or arithmetic

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This paper cites Frege, Die Grundlagen der Arithmetik: Eine logisch-mathematisch e Untersuchung über den Begriff der Zahl (Breslau: W.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Frege, Die Grundlagen der Arithmetik: Eine logisch-mathematisch e Untersuchung über den Begriff der Zahl (Breslau: W

Reference 21

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This paper cites Wille, Gottlob Frege: Begriffsschrift, eine der arithmetischen n achgebildete F ormelsprache des reinen Denkens.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Wille, Gottlob Frege: Begriffsschrift, eine der arithmetischen n achgebildete F ormelsprache des reinen Denkens

Reference 22

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This paper cites Russell and A.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Russell and A

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This paper cites Skolem, “Logico-combinatorical investigations in the satisﬁability or provabilitiy of mathematical proposi - tions: A simpliﬁed proof of a theorem by L.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Skolem, “Logico-combinatorical investigations in the satisﬁability or provabilitiy of mathematical proposi - tions: A simpliﬁed proof of a theorem by L

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This paper cites Badesa, The birth of model theory: Löwenheim’s theorem in the frame o f the theory of relatives.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Badesa, The birth of model theory: Löwenheim’s theorem in the frame o f the theory of relatives

Reference 25

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This paper cites How number theory got the best of the pentium c hip.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence How number theory got the best of the pentium c hip

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This paper cites Introduction to HOL: A theorem proving environment for higher order logic.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Introduction to HOL: A theorem proving environment for higher order logic

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This paper cites Pvs: A prototype v eriﬁcation system.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Pvs: A prototype v eriﬁcation system

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This paper cites Kaufmann, P.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Kaufmann, P

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This paper cites Combining model checking and runtime veriﬁcation for safe robotics.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Combining model checking and runtime veriﬁcation for safe robotics

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This paper cites P: Safe asynchro nous event-driven programming.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence P: Safe asynchro nous event-driven programming

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This paper cites Towards Verified Artificial Intelligence.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Towards Verified Artificial Intelligence

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence A theory of formal synthesis via inductive learning

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This paper cites Language identiﬁcation in the limit.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Language identiﬁcation in the limit

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Unresolved cited work

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence A methodology for lisp program construc tion from examples

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This paper cites Inductive inference: Theor y and methods.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Inductive inference: Theor y and methods

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Unresolved cited work

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This paper cites Minin g Requirements From Closed-Loop Control Models.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Minin g Requirements From Closed-Loop Control Models

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This paper cites Backpropa- gation Applied to Handwritten Zip Code Recognition.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Backpropa- gation Applied to Handwritten Zip Code Recognition

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Deep, big, simple neural nets for handwrit- ten digit recognition

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This paper cites Deep neural netwo rks are easily fooled: High conﬁdence pre- dictions for unrecognizable images.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Deep neural netwo rks are easily fooled: High conﬁdence pre- dictions for unrecognizable images

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This paper cites Explaining and Harnessing Adversarial Examples.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Explaining and Harnessing Adversarial Examples

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Practi- cal Black-Box Attacks against Machine Learning

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This paper cites The Limitations of Deep Learning in Adversarial Settings.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence The Limitations of Deep Learning in Adversarial Settings

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence ZOO: Zeroth order optimiza- tion based black-box attacks to deep neural networks withou t training substitute mod- els

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence DeepXplore: Automa ted whitebox testing of deep learn- ing systems

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This paper cites DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

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This paper cites AI2: Safety and robust- ness certiﬁcation of neural networks with abstract interpr etation.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence AI2: Safety and robust- ness certiﬁcation of neural networks with abstract interpr etation

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Sabour, N

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This paper cites Capsule Network Performance on Complex Data.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Capsule Network Performance on Complex Data

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This paper cites An optimization view on dynamic rout ing between capsules.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence An optimization view on dynamic rout ing between capsules

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This paper cites Multilayer fe edforward networks are universal approximators.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Multilayer fe edforward networks are universal approximators

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This paper cites Approximation by superpositions of a sigm oidal function.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Approximation by superpositions of a sigm oidal function

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This paper cites Compositional Falsification of Cyber-Physical Systems with Machine Learning Components.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Compositional Falsification of Cyber-Physical Systems with Machine Learning Components

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This paper cites Über die Gleichverteilung von Zahlen mod. ein s.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Über die Gleichverteilung von Zahlen mod. ein s

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This paper cites Pointwise ergodic theore ms via harmonic analysis.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Pointwise ergodic theore ms via harmonic analysis

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This paper cites Gray-box adversarial tes ting for control systems with machine learning compo- nents.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Gray-box adversarial tes ting for control systems with machine learning compo- nents

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This paper cites Functi onal gradient descent method for metric temporal logic speciﬁcations.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Functi onal gradient descent method for metric temporal logic speciﬁcations

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This paper cites Multiple shooting, cegar-based falsiﬁcation for hybrid systems.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Multiple shooting, cegar-based falsiﬁcation for hybrid systems

Reference 60

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Observation 29cce9a0-3f0d-4922-8a28-718571502e9b · outbound

This paper cites Optimal control b ased falsiﬁcation of unknown systems with time delays: A gasoline engine A/F ratio control case study.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Optimal control b ased falsiﬁcation of unknown systems with time delays: A gasoline engine A/F ratio control case study

Reference 61

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Observation 8e9e9c30-c468-4429-84dc-2f0acc939ff3 · outbound

This paper cites A structure by which a recur rent neural network can approximate a nonlinear dynamic system.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence A structure by which a recur rent neural network can approximate a nonlinear dynamic system

Reference 62

Resolution: metadata mismatch; raw_fallback, observed 2026-08-14T11:52:50.403537Z

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Observation 83ffa8c8-7196-4ee7-8117-0b24dbde02f9 · outbound

This paper cites On the computational power of neural nets.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence On the computational power of neural nets

Reference 63

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Observation 36f324ed-dfa8-4ec9-9aee-dd0b36d3af4f · outbound

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-14T11:52:49.040958Z

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Observation 7be59bde-f26e-482e-8a78-8b8a6eb64ebc · outbound

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Finding structure in time

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-14T11:52:49.046456Z

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Observation f4fbf96b-db1d-413d-b7cc-c602ab685572 · outbound

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 66

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Observation 51d82e0f-177d-4b59-bded-bf327f65f72f · outbound

This paper cites Long short-term mem ory.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Long short-term mem ory

Reference 67

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This paper cites Customer experience challenges: Bringing together digital, physic al and social realms.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Customer experience challenges: Bringing together digital, physic al and social realms

Reference 68

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Observation 29b18129-7f73-48a1-86e6-463e3561ae40 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Playing Atari with Deep Reinforcement Learning

Reference 69

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This paper cites Hybrid computing using a neural network with dynamic exte rnal memory.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Hybrid computing using a neural network with dynamic exte rnal memory

Reference 70

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Observation f5406e34-baa8-4ed4-8f2f-0cc91864c197 · outbound

This paper cites Sim ulation-based Adversarial Test Generation for Autonomous V ehicles with Machine Learning Components.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Sim ulation-based Adversarial Test Generation for Autonomous V ehicles with Machine Learning Components

Reference 71

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Observation a5b65fc0-b03c-4fbf-8a51-feb9134342dd · outbound

This paper cites Safe At Any Speed: A Simula tion-Based Test Harness for Autonomous.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Safe At Any Speed: A Simula tion-Based Test Harness for Autonomous

Reference 72

Resolution: verified exact; doi, observed 2026-08-14T11:52:49.565470Z

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Observation d4378022-b0ee-4751-a64c-755e93667853 · outbound

This paper cites A simulation study system atization.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence A simulation study system atization

Reference 73

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Simulation projects: Building the right conceptual model

Reference 74

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Observation 046af82f-9d0d-494f-86bd-d9b086d0bddd · outbound

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Robinson, Simulation — the practice of model development and use

Reference 75

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Observation 3d47b82e-57d8-4f07-ad07-81adfeb2ab1e · outbound

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Co-simulation: State of the art

Reference 76

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Observation 24476c2f-3ba9-4a60-baf4-a42441d1e13c · outbound

This paper cites On conce ptual structuration and coupling methods of co- simulation frameworks in cyber-physical energy system val idation.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence On conce ptual structuration and coupling methods of co- simulation frameworks in cyber-physical energy system val idation

Reference 77

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Observation c654f864-fd33-49fa-a13a-5bbd5f45c1f1 · outbound

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Cosimulation of intelligent power sys- tems: Fundamentals, software architecture, numerics, and coupling

Reference 78

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Observation 95c5a9ec-3089-4d94-8983-c249b059f8b1 · outbound

This paper cites Mosaik-a modular platform for the evalua- tion of agent-based smart grid control.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Mosaik-a modular platform for the evalua- tion of agent-based smart grid control

Reference 79

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Observation 6ac19d65-834a-471f-a99a-8d7315fe1a8f · outbound

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Ptolemaeus, System design, modeling, and simulation: Using ptolemy ii

Reference 80

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Observation 87384609-f8bb-4a29-ad24-b55e3650e006 · outbound

This paper cites Functional mockup interface 2.0: The standard for tool in dependent exchange of simula- tion models.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Functional mockup interface 2.0: The standard for tool in dependent exchange of simula- tion models

Reference 81

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Observation 8ff60702-04f6-4cc5-b7f3-88e719befd5d · outbound

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Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence ENABLE-S3: Testing & V alidation of Highly Automat ed Systems

Reference 82

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Observation be6f12fd-5836-4ff1-b3e2-b33901c98551 · outbound

This paper cites Wooldridge, An introduction to multiagent systems.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Wooldridge, An introduction to multiagent systems

Reference 83

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Observation 96091109-1872-4a02-8b33-2e4d379e455f · outbound

This paper cites Bussmann, N.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Bussmann, N

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.691362Z

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Observation fc4a9c76-1f30-43d4-ab88-67101bdf399d · outbound

This paper cites Market- based self-organized provision of active power and ancilla ry services: An agent-based approach for smart distribution grids.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Market- based self-organized provision of active power and ancilla ry services: An agent-based approach for smart distribution grids

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.676233Z

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Observation 1fd683fc-9a18-42f3-9fc5-9083647a43d9 · outbound

This paper cites Approach for ancil lary service provision by decentralized energy de- vices with the focus on load frequency control.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Approach for ancil lary service provision by decentralized energy de- vices with the focus on load frequency control

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.659267Z

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Observation 03b1713c-bd39-423b-9fc9-46a2be2c32c6 · outbound

This paper cites Multi-agent systems for power engineering applic ations—part I: Concepts, approaches, and technical challenges.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Multi-agent systems for power engineering applic ations—part I: Concepts, approaches, and technical challenges

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.643543Z

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Observation 51f32aeb-218f-4fae-b59d-e986a1791e01 · outbound

This paper cites Multiagent trafﬁc management : An improved intersection control mechanism.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Multiagent trafﬁc management : An improved intersection control mechanism

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.627575Z

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Observation 1eb27466-1493-4cc4-8d98-fc558994ff07 · outbound

This paper cites an unresolved cited work.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Unresolved cited work

Reference 90

Resolution: metadata mismatch; raw_fallback, observed 2026-08-14T11:52:50.197406Z

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Observation 9f363473-9d24-498d-beba-bbded48800d5 · outbound

This paper cites The chaotic nature of TCP congesti on control.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence The chaotic nature of TCP congesti on control

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.591981Z

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Observation e2b1dc1d-36a6-46fe-aa2e-7742d05ff6fc · outbound

This paper cites A collaborative driving sy stem based on multiagent modelling and simulations.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence A collaborative driving sy stem based on multiagent modelling and simulations

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.608981Z

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Observation f5c47f27-909b-4468-9fa8-873b011660a3 · outbound

This paper cites Efﬁcient algorithms for distributed snap shots and global virtual time approximation.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Efﬁcient algorithms for distributed snap shots and global virtual time approximation

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.558017Z

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Observation 276b39b5-c565-4e72-9532-3ca57cc6e0f4 · outbound

This paper cites Consensus and Cooperation in Networked Multi-Agent Sys- tems.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Consensus and Cooperation in Networked Multi-Agent Sys- tems

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.539996Z

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Observation db2a12af-ea3a-4a95-9886-81ed98c8dbfe · outbound

This paper cites Distributed snapshots: de termining global states of distributed systems.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Distributed snapshots: de termining global states of distributed systems

Reference 95

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Observation 8c4ef781-4c12-4b43-85ee-65aeda8e8994 · outbound

This paper cites The distributed negotiation of egalitarian resource allocations.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence The distributed negotiation of egalitarian resource allocations

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.506457Z

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Observation f4cd9741-37bf-4227-8694-79a04058ae37 · outbound

This paper cites Negotiation decision functions for autonomous agents.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Negotiation decision functions for autonomous agents

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.490064Z

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Observation 1a12c654-01db-4ad7-a908-fcac38011d02 · outbound

This paper cites Protocol moderator s as active middle-agents in multi-agent systems.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Protocol moderator s as active middle-agents in multi-agent systems

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.522227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 92a96b9c-c0a0-4fb5-8f91-548560899ff1 · outbound

This paper cites An Agent-Based Approach for Dy namic Manufacturing Scheduling.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence An Agent-Based Approach for Dy namic Manufacturing Scheduling

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.454443Z

Source-reported events for the cited work

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Observation 2a3c88ec-b4ee-4930-a020-be923fdb7cf5 · outbound

This paper cites Host extensions for IP multicasting.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence Host extensions for IP multicasting

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.436960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8ad95b87-315e-4e59-8c1e-583851a83bdb · outbound

This paper cites The contract net protocol: High-level com munication and control in a distributed problem solver.

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence The contract net protocol: High-level com munication and control in a distributed problem solver

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:51.473200Z

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