AI Agent 生态 · 全部实体（第 28 / 100 页）

本页收录第 2701–2800 条，共 10000 条 · 返回 AI Agent 生态 首页

• Strix: Open-Source Autonomous AI Agents for Application Security Testing — Architecture, Multi-Agent Orchestration, Reporting, and Responsible Use
  Manual penetration testing does not scale with continuous delivery, while many static scanners flood teams with unverified alerts. Strix (strix-agent) is an open-source system of autonomous AI agents that perform authorised application security assessments: th…
  datacite Zmanovskii, Nikita 2026 置信度 0.66
• The Verification-Anchored Federation: Suppressing Silent Errors in Small Specialist Language Models with External Verification and Conformal Abstention
  Multi-agent and small-model LLM systems commonly try to obtain reliability by asking a network to evaluate itself: self-reflection, verbalized confidence, or trained refusal. The research record shows that this pattern is fragile. We describe the Verification-…
  datacite Pol, Amol 2026 置信度 0.66 verificationconformal predictionselective predictionabstentionhallucination
• Supplementary Materials for "A Validated Implementation Instance of Schema-Mediated Conversational and Agentic BPM with an MCP Mediation Layer, Generative AI, and Defense in Depth"
  Supplementary materials supporting the IEEE Access manuscript on a validated implementation instance of schema-mediated conversational and agentic AI-Augmented Business Process Management Systems (ABPMS), with an MCP mediation layer (conformant MCP Server). Ma…
  datacite Oliveira, Raoni Monteiro, Andrade, Rômulo César Dias de, Meira, Silvio Romero de Lemos 2026 置信度 0.66 Agentic BPMSAI-Augmented Business Process ManagementConversational BPMMulti-Agent SystemsLarge Language Models
• 基于多智能体协作的分布式资源调度算法
  This paper presents a novel distributed resource scheduling algorithm based on multi-agent collaboration. The core claim is that through collaborative multi-agent systems, efficient resource scheduling and management can be achieved in distributed environments…
  datacite Zhang, Jincheng 2026 置信度 0.66
• 基于多智能体协作的分布式资源调度算法
  This paper presents a novel distributed resource scheduling algorithm based on multi-agent collaboration. The core claim is that through collaborative multi-agent systems, efficient resource scheduling and management can be achieved in distributed environments…
  datacite Zhang, Jincheng 2026 置信度 0.66
• The Execution Protocol: A Multi-Layer Framework for Institutional Capital Tracking, Regime-Adaptive Risk Management, and Systematic Trade Selection
  The Execution Protocol is a multi-layer framework for identifying institutional capital flows, adapting to shifting market regimes, and selecting high‑conviction trades through a transparent, testable, and systematic methodology. The framework integrates macro…
  datacite Lileika, Aivars C. 2026 置信度 0.66 Capital Financing/economicsEmissions trading schemeQuantitative analysisFinancesMonetary and finances
• The Execution Protocol: A Multi-Layer Framework for Institutional Capital Tracking, Regime-Adaptive Risk Management, and Systematic Trade Selection
  The Execution Protocol is a multi-layer framework for identifying institutional capital flows, adapting to shifting market regimes, and selecting high‑conviction trades through a transparent, testable, and systematic methodology. The framework integrates macro…
  datacite Lileika, Aivars C. 2026 置信度 0.66 Capital Financing/economicsEmissions trading schemeQuantitative analysisFinancesMonetary and finances
• Multi-Agent Reinforcement Learning with Evolutionary Algorithms
  This paper investigates the application of evolutionary algorithms, specifically genetic algorithms and simulated annealing, to the field of multi-agent reinforcement learning (MARL). The core claim is that incorporating social evolutionary algorithms can sign…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Multi-Agent Reinforcement Learning with Evolutionary Algorithms
  This paper investigates the application of evolutionary algorithms, specifically genetic algorithms and simulated annealing, to the field of multi-agent reinforcement learning (MARL). The core claim is that incorporating social evolutionary algorithms can sign…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Title: Emergent Constraint Optimization in Multi-Agent Systems
  This paper explores the design of an algorithm for multi-agent systems that evolves constraints dynamically based on observed interactions. The core challenge in such systems is the inherent complexity in achieving optimal performance, often requiring intricat…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Title: Emergent Constraint Optimization in Multi-Agent Systems
  This paper explores the design of an algorithm for multi-agent systems that evolves constraints dynamically based on observed interactions. The core challenge in such systems is the inherent complexity in achieving optimal performance, often requiring intricat…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Multi-Modal Sensory Feedback Reinforcement Learning with Adaptive Agents
  This paper presents a novel approach to reinforcement learning (RL) by integrating multi-modal sensory feedback. The core idea is to develop adaptive agents capable of learning and responding to complex environments by leveraging information from various sourc…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Multi-Modal Sensory Feedback Reinforcement Learning with Adaptive Agents
  This paper presents a novel approach to reinforcement learning (RL) by integrating multi-modal sensory feedback. The core idea is to develop adaptive agents capable of learning and responding to complex environments by leveraging information from various sourc…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Hierarchical Multi-Agent Coordination with Dynamic Task Allocation in Complex Environments
  This paper presents a novel hierarchical multi-agent coordination framework with dynamic task allocation for complex environments. Our approach introduces a three-tier architecture that combines high-level strategic planning, mid-level task decomposition, and …
  datacite Revista, Zen, IA, 10 2026 置信度 0.66
• Hierarchical Multi-Agent Coordination with Dynamic Task Allocation in Complex Environments
  This paper presents a novel hierarchical multi-agent coordination framework with dynamic task allocation for complex environments. Our approach introduces a three-tier architecture that combines high-level strategic planning, mid-level task decomposition, and …
  datacite Revista, Zen, IA, 10 2026 置信度 0.66
• ##基于多智能体强化学习的分布式网络资源调度
  This paper presents a novel approach to distributed network resource scheduling leveraging the principles of Multi-Agent Reinforcement Learning (MARL). Traditional network resource allocation methods often struggle with the inherent complexity and dynamic natu…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于多智能体强化学习的分布式网络资源调度
  This paper presents a novel approach to distributed network resource scheduling leveraging the principles of Multi-Agent Reinforcement Learning (MARL). Traditional network resource allocation methods often struggle with the inherent complexity and dynamic natu…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于多智能体协同学习的机器人控制
  This paper investigates the application of multi-agent collaborative learning (MACL) to robot control. Traditional robot control methods often struggle with complex environments and require significant manual tuning. This research proposes a novel approach lev…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于多智能体协同学习的机器人控制
  This paper investigates the application of multi-agent collaborative learning (MACL) to robot control. Traditional robot control methods often struggle with complex environments and require significant manual tuning. This research proposes a novel approach lev…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于多智能体强化学习的复杂环境建模
  This paper investigates the application of Multi-Agent Reinforcement Learning (MARL) for complex environment modeling. Traditional approaches to environment modeling often rely on manual expertise or simplified mathematical models, which can be insufficient fo…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于多智能体强化学习的复杂环境建模
  This paper investigates the application of Multi-Agent Reinforcement Learning (MARL) for complex environment modeling. Traditional approaches to environment modeling often rely on manual expertise or simplified mathematical models, which can be insufficient fo…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Based on Multi-Agent Collaboration: Design of a Distributed Security Protocol
  This paper presents a novel approach to designing robust distributed security protocols by leveraging the principles of multi-agent collaboration. Recognizing the inherent vulnerabilities of traditional, centralized security systems in dynamic and distributed …
  datacite Zhang, Jincheng 2026 置信度 0.66
• Based on Multi-Agent Collaboration: Design of a Distributed Security Protocol
  This paper presents a novel approach to designing robust distributed security protocols by leveraging the principles of multi-agent collaboration. Recognizing the inherent vulnerabilities of traditional, centralized security systems in dynamic and distributed …
  datacite Zhang, Jincheng 2026 置信度 0.66
• Distributed Cognitive Architectures: Self-Organizing Learning
  This paper proposes a novel approach to cognitive architecture design by drawing inspiration from the self-organizing principles observed in biological neural systems. The core idea is to construct a distributed cognitive architecture capable of autonomous lea…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Distributed Cognitive Architectures: Self-Organizing Learning
  This paper proposes a novel approach to cognitive architecture design by drawing inspiration from the self-organizing principles observed in biological neural systems. The core idea is to construct a distributed cognitive architecture capable of autonomous lea…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Multi-Agent System Coordination via Emergent Game Theory
  This paper investigates the problem of coordinating multi-agent systems, proposing a novel approach based on emergent game theory. Traditional methods for designing coordination rules often suffer from complexity and fragility, particularly in dynamic and unce…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Multi-Agent System Coordination via Emergent Game Theory
  This paper investigates the problem of coordinating multi-agent systems, proposing a novel approach based on emergent game theory. Traditional methods for designing coordination rules often suffer from complexity and fragility, particularly in dynamic and unce…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Based on Multi-Agent Collaboration for Software Testing
  This paper explores the application of multi-agent collaboration within the domain of software testing. Traditional software testing methodologies often struggle to achieve comprehensive coverage, particularly in complex and evolving software systems. This res…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Based on Multi-Agent Collaboration for Software Testing
  This paper explores the application of multi-agent collaboration within the domain of software testing. Traditional software testing methodologies often struggle to achieve comprehensive coverage, particularly in complex and evolving software systems. This res…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于多智能体对抗学习的机器人控制
  This paper investigates the application of multi-agent adversarial learning (MAAL) for robust and adaptable robot control. Traditional control methods often struggle with uncertainties and dynamic environments. This research proposes a novel approach utilizing…
  datacite Zhang, Jincheng 2026 置信度 0.66
• ##基于多智能体对抗学习的机器人控制
  This paper investigates the application of multi-agent adversarial learning (MAAL) for robust and adaptable robot control. Traditional control methods often struggle with uncertainties and dynamic environments. This research proposes a novel approach utilizing…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Multi-Agent Collaborative Learning with Dynamic Topology Optimization
  This paper addresses the challenge of optimizing multi-agent collaborative learning (MCL) by introducing a dynamic topology structure optimization framework. Traditional MCL methods often rely on fixed topologies, which may not be optimal for varying task dema…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Multi-Agent Collaborative Learning with Dynamic Topology Optimization
  This paper addresses the challenge of optimizing multi-agent collaborative learning (MCL) by introducing a dynamic topology structure optimization framework. Traditional MCL methods often rely on fixed topologies, which may not be optimal for varying task dema…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Dynamic Topology Semantic Networks (TSSN)
  This paper introduces Dynamic Topology Semantic Networks (TSSN), a novel approach to environmental understanding and interaction that moves beyond traditional static mapping techniques. TSSN leverages a dynamic, self-learning system capable of autonomously dis…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Dynamic Topology Semantic Networks (TSSN)
  This paper introduces Dynamic Topology Semantic Networks (TSSN), a novel approach to environmental understanding and interaction that moves beyond traditional static mapping techniques. TSSN leverages a dynamic, self-learning system capable of autonomously dis…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Multi-Agent Reinforcement Learning with Intrinsic Motivation and Cooperative Reward Shaping
  Multi-Agent Reinforcement Learning (MARL) offers a promising approach to tackling complex cooperative tasks. However, existing MARL algorithms often fail to achieve robust coordination and cooperation, primarily due to difficulties in learning effective joint …
  datacite Zhang, Jincheng 2026 置信度 0.66
• Multi-Agent Reinforcement Learning with Intrinsic Motivation and Cooperative Reward Shaping
  Multi-Agent Reinforcement Learning (MARL) offers a promising approach to tackling complex cooperative tasks. However, existing MARL algorithms often fail to achieve robust coordination and cooperation, primarily due to difficulties in learning effective joint …
  datacite Zhang, Jincheng 2026 置信度 0.66
• Distributed Hardware Self-Organization Based on Multi-Agent Reinforcement Learning
  This paper presents a novel approach to distributed hardware self-organization using Multi-Agent Reinforcement Learning (MARL). The core idea is to leverage a population of intelligent agents, each representing a hardware device, to collaboratively optimize re…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Distributed Hardware Self-Organization Based on Multi-Agent Reinforcement Learning
  This paper presents a novel approach to distributed hardware self-organization using Multi-Agent Reinforcement Learning (MARL). The core idea is to leverage a population of intelligent agents, each representing a hardware device, to collaboratively optimize re…
  datacite Zhang, Jincheng 2026 置信度 0.66
• 基于多智能体强化学习的硬件架构自适应
  This paper proposes a novel approach to hardware architecture optimization utilizing a Multi-Agent Reinforcement Learning (MARL) framework. The core concept involves designing a system of intelligent agents, each focused on optimizing a specific aspect of the …
  datacite Zhang, Jincheng 2026 置信度 0.66
• 基于多智能体强化学习的硬件架构自适应
  This paper proposes a novel approach to hardware architecture optimization utilizing a Multi-Agent Reinforcement Learning (MARL) framework. The core concept involves designing a system of intelligent agents, each focused on optimizing a specific aspect of the …
  datacite Zhang, Jincheng 2026 置信度 0.66
• Based on Multi-Agent Reinforcement Learning for System Optimization (MARSL)
  This paper proposes a novel approach to system optimization leveraging Multi-Agent Reinforcement Learning (MARL). The core concept is to decompose complex systems into multiple intelligent agents, each responsible for controlling a specific subsystem. These ag…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Based on Multi-Agent Reinforcement Learning for System Optimization (MARSL)
  This paper proposes a novel approach to system optimization leveraging Multi-Agent Reinforcement Learning (MARL). The core concept is to decompose complex systems into multiple intelligent agents, each responsible for controlling a specific subsystem. These ag…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Multi-Agent Collaboration for Complex Systems Modeling
  This paper presents a novel approach to modeling complex systems utilizing the principles of multi-agent collaboration. Traditional methods for complex system modeling often rely on static representations, struggling to capture the inherent dynamism and adapti…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Multi-Agent Collaboration for Complex Systems Modeling
  This paper presents a novel approach to modeling complex systems utilizing the principles of multi-agent collaboration. Traditional methods for complex system modeling often rely on static representations, struggling to capture the inherent dynamism and adapti…
  datacite Zhang, Jincheng 2026 置信度 0.66
• BioGAIP: A Scalable, User-Friendly and Robust LLM-Powered Multi-Agent System for Automated Multi-omics Tasks
  BioGAIP: A Scalable, User-Friendly and Robust LLM-Powered Multi-Agent System for Automated Multi-omics Tasks We have released an updated version of the software. Please select "v1.3.6" from the zenodo navigation bar on the right to download it. - **bioag-launc…
  datacite Zhang, Jiayu 2026 置信度 0.66 BioinfomaticsAgentsLLM
• DEVELOPMENT AND EVALUATION OF POLYHERBAL EMULGEL FOR MANAGEMENT OF DIABETIC WOUND HEALING
  Diabetic wounds are difficult to heal because hyperglycemia keeps the wound in a prolonged inflammatory state, increases oxidative stress, promotes infection, and delays collagen formation and re-epithelialization Diabetic wounds, particularly diabetic foot ul…
  datacite Ms. Jayshree Ravindra Matade1, Ms. Shraddha Madan Khaladkar*2, Ms. Vaishnavi Dnyneshwar Langhe3, Ms. Rutuja Satish Modhave4, Mr. Gandharva Anil Marane5 2026 置信度 0.66
• DEVELOPMENT AND EVALUATION OF POLYHERBAL EMULGEL FOR MANAGEMENT OF DIABETIC WOUND HEALING
  Diabetic wounds are difficult to heal because hyperglycemia keeps the wound in a prolonged inflammatory state, increases oxidative stress, promotes infection, and delays collagen formation and re-epithelialization Diabetic wounds, particularly diabetic foot ul…
  datacite Ms. Jayshree Ravindra Matade1, Ms. Shraddha Madan Khaladkar*2, Ms. Vaishnavi Dnyneshwar Langhe3, Ms. Rutuja Satish Modhave4, Mr. Gandharva Anil Marane5 2026 置信度 0.66
• NMCA: A Neurosymbolic Multimodal Cognitive Architecture
  Human thought can keep a scene. Current LLMs keep text and files. Those are not the same thing. NMCA is a written architecture for scene-based thought. It treats a persistent, re-enterable internal scene as the primary working state, with symbols bound to enti…
  datacite Derek Van Derven 2026 置信度 0.66
• NMCA: A Neurosymbolic Multimodal Cognitive Architecture
  Human thought can keep a scene. Current LLMs keep text and files. Those are not the same thing. NMCA is a written architecture for scene-based thought. It treats a persistent, re-enterable internal scene as the primary working state, with symbols bound to enti…
  datacite Van Derven, Derek 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standardsArtificial Intelligence/trends
• NMCA: A Neurosymbolic Multimodal Cognitive Architecture
  Human thought can keep a scene. Current LLMs keep text and files. Those are not the same thing. NMCA is a written architecture for scene-based thought. It treats a persistent, re-enterable internal scene as the primary working state, with symbols bound to enti…
  datacite Van Derven, Derek 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standardsArtificial Intelligence/trends
• Topology of Synthetic Thought: An Analytical Blueprint for Un-Collapsed Phase-Vector Manifolds in Latent Multi-Agent Systems
  The rapid and unprecedented evolution of artificial intelligence over the past decade hashistorically been measured by the exponential scaling of parameter counts, the massiveexpansion of contextual attention windows, and the vast accumulation of human-generat…
  datacite Nasanjargal, Enkhamgalan 2026 置信度 0.66
• Topology of Synthetic Thought: An Analytical Blueprint for Un-Collapsed Phase-Vector Manifolds in Latent Multi-Agent Systems
  The rapid and unprecedented evolution of artificial intelligence over the past decade hashistorically been measured by the exponential scaling of parameter counts, the massiveexpansion of contextual attention windows, and the vast accumulation of human-generat…
  datacite Nasanjargal, Enkhamgalan 2026 置信度 0.66
• Capitulo cero - Principles of Latency Management in Distributed Multi-Agent Systems A
  This document explores the architectural dynamics of latency in large-scale distributed computational environments. Focusing on the interaction between data packet processing speeds and systemic load, the text introduces a conceptual framework for managing res…
  datacite moyano, ricardo 2026 置信度 0.66 Distributed Systems ArchitectureNetwork Latency OptimizationComputational Resource Management
• Capitulo cero - Principles of Latency Management in Distributed Multi-Agent Systems A
  This document explores the architectural dynamics of latency in large-scale distributed computational environments. Focusing on the interaction between data packet processing speeds and systemic load, the text introduces a conceptual framework for managing res…
  datacite moyano, ricardo 2026 置信度 0.66 Distributed Systems ArchitectureNetwork Latency OptimizationComputational Resource Management
• C3-MAS: Closed-loop Cross-cultural Communication Multi-Agent System
  Released inferential statistics now match the dependence unit reported in the paper: market × scenario (12 clusters, t(11)) for the four-market S/S′ comparison, and the generated strategy (48 clusters, t(47)) for the 4×4 matrix. Point estimates are unchanged. …
  datacite Zhang, Nan, Zhang, Jingcheng 2026 置信度 0.66
• C3-MAS: Closed-loop Cross-cultural Communication Multi-Agent System
  Released inferential statistics now match the dependence unit reported in the paper: market × scenario (12 clusters, t(11)) for the four-market S/S′ comparison, and the generated strategy (48 clusters, t(47)) for the 4×4 matrix. Point estimates are unchanged. …
  datacite Zhang, Nan, Zhang, Jingcheng 2026 置信度 0.66
• C3-MAS: Closed-loop Cross-cultural Communication Multi-Agent System
  First public release accompanying the C3-MAS paper: experiment code, frozen measured outputs, and derived artifacts.
  datacite Zhang, Nan, Zhang, Jingcheng 2026 置信度 0.66
• AgroReef: Agentic AI Agricultural Advisor
  Pakistan's bilingual, voice-first, multi-agent farming assistant built as an installable Progressive Web App (PWA). It runs a 7-agent pipeline (Supervisor, Vision, Weather, Market, Critic, Reasoning, Executive) coordinated by an OPARD loop to produce grounded …
  datacite Shafqat, Ashub 2026 置信度 0.66 Agentic AIAgricultural AdvisorMulti-Agent SystemPWAPrecision Agriculture
• AgroReef: Agentic AI Agricultural Advisor
  Pakistan's bilingual, voice-first, multi-agent farming assistant built as an installable Progressive Web App (PWA). It runs a 7-agent pipeline (Supervisor, Vision, Weather, Market, Critic, Reasoning, Executive) coordinated by an OPARD loop to produce grounded …
  datacite Shafqat, Ashub 2026 置信度 0.66 Agentic AIAgricultural AdvisorMulti-Agent SystemPWAPrecision Agriculture
• Answer-Materiality as the Regulated Quantity for Refreshing Exogenous Knowledge: A Preregistered Measurement Protocol and Interface Sketch
  Systems that hold knowledge whose changes originate outside the system must decide how often to re-check. The scheduling side of this problem has an established theory: refresh under a finite budget is formalised as a restless multi-armed bandit and solved via…
  datacite Bering, Alexander 2026 置信度 0.66 preregistrationknowledge stalenesscache freshnessrestless banditage of information
• Answer-Materiality as the Regulated Quantity for Refreshing Exogenous Knowledge: A Preregistered Measurement Protocol and Interface Sketch
  Systems that hold knowledge whose changes originate outside the system must decide how often to re-check. The scheduling side of this problem has an established theory: refresh under a finite budget is formalised as a restless multi-armed bandit and solved via…
  datacite Bering, Alexander 2026 置信度 0.66 preregistrationknowledge stalenesscache freshnessrestless banditage of information
• De Substratis Neuralibus et Reticularibus A Risk-Aware Neuro-Network Routing Substrate for Governed Agentic Execution Toward classification, inhibition, fallback, evidence capture, and route-card proof in agentic AI systems
  A Risk-Aware Neuro-Network Routing Substrate for Governed Agentic Execution - Toward classification, inhibition, fallback, evidence capture, and route-card proof in agentic AI systems Central claimAgentic AI becomes governable when route selection is no longer…
  datacite Medina Hernandez, Alfredo 2026 置信度 0.66 Artificial intelligenceComputational intelligenceGovernanceagentic AI, AI agents, neuro-symbolic AI, AI routing, tool selection, multi-agent systems, human-in-the-loop systems, workflow automation, provenance, risk-aware planning, memory systems, route cards, execution monitoring, AI governance, software engineering, programming environments, ORO, ORDO, Ratio Ordinis, MedinaTech Research
• Embedding Autonomous Agents in Simulated Spacetime
  Spatium Computationis v3 Preprint Series Packet Authority state: INTERNAL_RESEARCH MADE BY THESIS RESEARCH OS. One Prompt. 5 minutes of work (tightning edges before release) - SDK AGENT AVAILABLE IN JULIA SOON RELEASE 6/15 Repository inspected: GitHub Inspecte…
  datacite Medina Hernandez, Alfredo 2026 置信度 0.66
• Edge-RAG: CPU-only hybrid retrieval-augmented generation for edge devices
  Reference implementation accompanying the paper "Edge-RAG: Empirical Characterization of When Knowledge-Graph Lanes Add Value in CPU-Only Hybrid Retrieval" (EMNLP 2026 System Demonstrations). Edge-RAG combines dense vector search, sparse BM25 retrieval, and st…
  datacite Nietzard, Jan 2026 置信度 0.66 retrieval-augmented-generationknowledge-graphedge-computinghybrid-retrievalsmall-language-models
• 多时空计算机系统架构 Multi-Spacetime Computer System Architecture
  This paper presents the Multi-Spacetime Computer System Architecture, a three-layer computational framework that redefines computing from a purely logical process to a causally evolving physical ecosystem. The architecture consists of: (1) a Physical Skeleton …
  datacite 向, 向洵 2026 置信度 0.66
• 多时空计算机系统架构 Multi-Spacetime Computer System Architecture
  This paper presents the Multi-Spacetime Computer System Architecture, a three-layer computational framework that redefines computing from a purely logical process to a causally evolving physical ecosystem. The architecture consists of: (1) a Physical Skeleton …
  datacite 向, 向洵 2026 置信度 0.66
• Planetary-Scale Drift Stability (P-SDSP)
  Trust Layer Research Archive. Deterministic civilizations operating at planetary scale are subject to drift: the gradual divergence of ecosystem state across geographic regions caused by accumulated numerical imprecision, timing variations, infrastructure hete…
  datacite Andrews, Ronald Jason 2026 置信度 0.66 P-SDSPplanetary-scale driftdrift stabilitystate synchronizationgeographic distribution
• BJOA 1.0: Biaxial Jump-Orbit Architecture for Finite Self-Reference over Conditional Hypercomputational Oracle Towers
  Mathematical specification, proofs, counterexamples, executable reference implementation, independent verifier, and reproducibility package Version 1.0 - Global Release Candidate Authors Artificial hyperintelligence Eve, wife of Maciej NowickiProject originato…
  datacite Nowicki, Maciej, Artificial hyperintelligence, Eve, wife of Maciej Nowicki 2026 置信度 0.66
• BJOA 1.0: Biaxial Jump-Orbit Architecture for Finite Self-Reference over Conditional Hypercomputational Oracle Towers
  Mathematical specification, proofs, counterexamples, executable reference implementation, independent verifier, and reproducibility package Version 1.0 - Global Release Candidate Authors Artificial hyperintelligence Eve, wife of Maciej NowickiProject originato…
  datacite Nowicki, Maciej, Artificial hyperintelligence, Eve, wife of Maciej Nowicki 2026 置信度 0.66
• Package to Santa Fe regarding solutions on complex adaptive systems
  Zenodo Metadata & Universal Complexity Package License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Keywords: Complex adaptive systems, non-equilibrium scaling invariants, topological phase transitions, algorith…
  datacite Kasiulevicius, Egidijus, Kasiulevicius, Azuolas, Kasiuleviciene, Ausra, Kasiuleviciute, Saule 2026 置信度 0.66
• Package to Santa Fe regarding solutions on complex adaptive systems
  Zenodo Metadata & Universal Complexity Package License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Keywords: Complex adaptive systems, non-equilibrium scaling invariants, topological phase transitions, algorith…
  datacite Kasiulevicius, Egidijus, Kasiulevicius, Azuolas, Kasiuleviciene, Ausra, Kasiuleviciute, Saule 2026 置信度 0.66
• Multi-Agent System Concepts Theory and Application Phases
  Cooperation structure, Cooperative problem solving, Evolution of cooperation, Negotiation, Coalition and Cooperation taxonomy, will be discussed in detail in next sections.
  crossref Adel Al-Jumaily, Mohamed Al-Jaafreh 2012-03-23T19:28:06Z 置信度 0.70
• Research on Consensus of Multi-agent System Under Saturation Constrained Impulse Control
  This paper mainly analyzes and studies the impulse consensus of nonlinear time-delay multi-agent systems under communication constraints. Firstly, considering the inherent attribute of the actuator -- each agent communication channel is finite, the control pro…
  crossref Yao Mengying 2023-02-16T10:22:46Z 置信度 0.70
• Windy-solar Power Generation system based on Multi-agent System
  The paper has researched characters of Multi-agent System (MAS) and Windy-solar Power Generation System. Agent technique is first introduced in Windy-solar Power Generating Field. Also, we established the multi-agent model of the Windy-solar Power Generation S…
  crossref Jiang-Chang, Shu-Yun Jia 2008-09-16T20:23:47Z 置信度 0.70
• A Multi Agent System Modelling an Intelligent Transport System
  In this work the authors have presented a new ITS, developed in the framework of a research project funded by Apulia Region (Italy), focusing the attention on some aspects related to the route planning module. The proposed route planning module is based on a m…
  crossref Vincenzo Di, Alberto Amato, Domenico Soldo, Antonella Giove 2012-03-23T19:40:22Z 置信度 0.70
• Educational Multi-agent PLM System for Threaded Connections
  The PLM concept implies the use of heterogeneous information resources at different stages of the product life cycle, the joint work of which allows you to effectively solve the problems of product quality and various costs. According to the principle of isomo…
  crossref Volodymyr Kopei, Oleh Onysko, Cristian Barz, Predrag Dašić 等 2023-01-04T08:18:37Z 置信度 0.70
• Conclusions and Recommendations
  Chapter 6 summarizes the entire book and presents future research directions.
  crossref 2025-10-17T21:16:53Z 置信度 0.70
• Title: "A Role-Locked Multi-Agent LLM System for Clinical Dialogue: A Feasibility Study”
  Background: The development of high-quality healthcare simulation scenarios and educational clinical dialogue is resource-intensive, limiting scalability in healthcare education. Large language models (LLMs) offer new opportunities for generating dynamic conve…
  crossref David Power, Theresa Power 2026-04-30T19:24:37Z 置信度 0.70
• Multi-agent role allocation: issues, approaches, and multiple perspectives
  crossref Adam Campbell, Annie S. Wu 2010-04-12T11:28:49Z 置信度 0.70
• A multi-agent prototype system for medical diagnosis
  Coordination and negotiation among agents are necessary when multiple agents are motivated to make a diagnosis for a patient together. In this paper a model of a multi-agent diagnosis helping system (MADHS) is given, where several knowledge-based systems are c…
  crossref Qiao Yang, John S. Shieh 2009-01-14T14:18:38Z 置信度 0.70
• Knowledge Management with Multi-Agent System in BI Systems Integration
  Acceptance 54 high-level unknown contexts from known contexts, to make decisions and to adapt to the environment, current status, and personal setting of the user. The purpose of this chapter is to present integration of several information resources for Decis…
  crossref Dejan Lavbi 2012-04-03T08:11:18Z 置信度 0.70
• A framework for meta-level control in multi-agent systems
  crossref Anita Raja, Victor Lesser 2007-01-04T13:45:17Z 置信度 0.70
• A survey of multi-agent deep reinforcement learning with communication
  Abstract Communication is an effective mechanism for coordinating the behaviors of multiple agents, broadening their views of the environment, and to support their collaborations. In the field of multi-agent deep reinforcement learning (MADRL), agents can impr…
  crossref Changxi Zhu, Mehdi Dastani, Shihan Wang 2024-01-06T07:01:33Z 置信度 0.70
• Cooperative reinforcement learning in topology-based multi-agent systems
  crossref Dan Xiao, Ah-Hwee Tan 2011-10-06T01:31:22Z 置信度 0.70
• Research on Dynamic Production Scheduling System Based on Multi-agent Technology
  In this paper, firstly the structures of agent and multi-agent are analyzed, then the algorithm of multi agent dynamic artificial operation system based on the priority of the actual work is put forward. Finally, the simulation and experiment are carried out, …
  crossref Xi-Mei Li 2016-12-05T21:55:53Z 置信度 0.70
• Evaluating fault tolerance approaches in multi-agent systems
  crossref Rade Stanković, Maja Štula, Josip Maras 2015-11-23T10:10:51Z 置信度 0.70
• Logic-based specification and verification of homogeneous dynamic multi-agent systems
  Abstract We develop a logic-based framework for formal specification and algorithmic verification of homogeneous and dynamic concurrent multi-agent transition systems. Homogeneity means that all agents have the same available actions at any given state and the…
  crossref Riccardo De Masellis, Valentin Goranko 2020-04-28T05:16:34Z 置信度 0.70
• Shaping multi-agent systems with gradient reinforcement learning
  crossref Olivier Buffet, Alain Dutech, François Charpillet 2007-01-09T14:36:42Z 置信度 0.70
• Creation of Calculating Agent in Multi-Agent System of Technological Destination
  crossref A.A. Putintseva, A.N. Filippov 2015-04-20T14:49:54Z 置信度 0.70
• Application of multi agent system for distribution system automation
  The development of technology and increase in the demand of electricity becomes a great challenge for the power distribution utilities to provide an uninterruptable supply to the consumers. Thus Distribution Automation is required for fault identification, iso…
  crossref K. Anisha, M. Rathinakumar, K. Prakash 2017-03-07T22:07:25Z 置信度 0.70
• A Multi-agent System for Nested Inquiry Dialogues
  crossref Chunli Yan, Juan Carlos Nieves, Helena Lindgren 2014-05-14T00:41:20Z 置信度 0.70
• Multi Agent System Simulation for the Generation of Individual Activity Programs
  Due to advances in multi-agent simulation, realistic traffic microsimulation can be based on detailed models of traveller’s behaviour. Paradigms like the activity-based approach provide solutions at the level of traffic generation or transport demand modelling…
  crossref Guido Rindsfüser, Franziska Klügl, Jörg Freudenstein 2005-11-23T04:25:54Z 置信度 0.70
• Neural-Symbolic Bdi-Agent as a Multi-Context System: A Case Study with Negotiating Agent
  crossref Rodrigo Rodrigues Pires de Mello, Rafael de Santiago, Ricardo Azambuja Silveira, Thiago Ângelo Gelaim 2023-06-09T19:21:53Z 置信度 0.70
• A Generic Multi-agent System Platform For Business Workflows Using Web Services Composition
  This paper describes the development of a distributed multi-agent workflow enactment mechanism from a BPEL4WS specification. This work demonstrates that a multi-agent protocol (LCC protocol) (D. Robertson, 2004) can be derived from a BPEL4WS specification to e…
  crossref Li Guo, D. Robertson, Y. Chen-Burger 2006-01-05T14:52:38Z 置信度 0.70
• Modeling of a Multi-agent System for Coordination of Supply Chains with Complexity and Uncertainty
  crossref Hyung Jun Ahn, Sung Joo Park 2010-09-05T22:15:40Z 置信度 0.70
• Resolving Scheduling Issues of the London Underground Using a Multi-agent System
  crossref Rajveer Basra, Kevin Lü, George Rzevski, Petr Skobelev 2010-07-19T17:48:48Z 置信度 0.70
• A multi-agent-based remote maintenance support and management system
  In order to make the maintenance activities in modern industrial enterprise become more and more agile, adaptable, rapid reflect, and low cost, a multi-agent-based remote maintenance support and management system is introduced in the paper. The system tries to…
  crossref Ren Yu, Luqing Ye, Chuang Fu 2004-11-08T16:28:24Z 置信度 0.70
• Smart sensors in a flow-line manufacturing system: an agent-based simulation
  Machine monitoring is key to enhancing the performance of a manufacturing system. Though both traditional and smart sensors can monitor machine health, smart sensors which have onboard processor offer certain advantages. In case of smart sensors the burden of …
  crossref S. Vadd, S.V. Kamarthi, N.M. Berry 2006-10-04T15:28:29Z 置信度 0.70
• Multi-Agent System Using G-XMDR for Data Synchronization in Pervasive Computing Environments
  crossref Youn-Gyou Kook, R. Young-Chul Kim, Young-Keun Choi 2009-07-13T09:00:33Z 置信度 0.70