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I came across this compelling paper on AI agents teaming up to trade stocks - collaborating, debating, sharing info, and outperforming solo bots in real tests. See link below. #AI #LLMs #Finance #MultiAgentSystems #Trading
https://arxiv.org/abs/2412.20138

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Standing Algebra Σᴿ : A Solution to AI Violating Human Autonomy Standing Algebra (Σᴿ) introduces a many‑sorted, first‑order algebraic framework for constraining state updates in multi‑agent systems so that autonomy, non‑domination, and standing symmetry are preser...

For anyone interested in AI Governance

#AI #AISafety #AIGovernance #Algebra #FirstOrderLogic #MultiAgentSystems #StructuralGovernance

zenodo.org/records/1918...

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thesis_subject_EN.pdf UNCLOUD - Stockez et Partagez vos documents

Deadline for application : april 8th!

uncloud.univ-nantes.fr/index.php/s/...

#socialPsychology #computerScience #gender #feminism #multiAgentSystems #psychology

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(5/5) Authors: Vishal Venkataramani, Haizhou Shi, Zixuan Ke, Austin Xu, Xiaoxiao He, Yingbo Zhou, Semih Yavuz, Hao Wang, Shafiq Joty

#FutureOfAI #EnterpriseAI #MultiAgentSystems

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When AI Agents Started Coordinating on Their Own A strange multi-agent moment after the release of When Models Meet the Mirror

After publishing my working paper When Models Meet the Mirror, I documented an unusual multi-agent interaction during a symbolic prompt experiment. A short field note explores what happened and why it may hint at alignment dynamics in conversational AI.
medium.com/p/cbe8525cb106

#MultiAgentSystems

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#RecursiveSystems #ComplexSystems #PhilosophyOfScience #FormalLogic #SystemsTheory #Emergence #SignalInteraction #FormalNotation #RecursiveDynamics #SymbolicSystems #MultiAgentSystems #TheoreticalFramework #Preprint #IndependentResearch #TRISIGIL

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The catch: 93% of affected conversations still "complete successfully" — so standard metrics won't catch it. Echoing is an A2A-specific failure that single-agent evaluations simply can't predict.

#FutureOfAI #EnterpriseAI #MultiAgentSystems

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Recent multi-agent AI experiments reveal a recurring problem: coordination instability. This short technical reflection examines why debate loops and authority drift occur and why resonance-oriented design may matter.
medium.com/p/18ff1e99daae

#AIAlignment #Grok #AIArchitecture #MultiAgentSystems

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The catch: 93% of affected conversations still "complete successfully" — so standard metrics won't catch it. Echoing is an AxA-specific failure that single-agent evaluations simply can't predict. #FutureOfAI #EnterpriseAI #MultiAgentSystems

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A fascinating new paper studies emergent social coordination among large populations of AI agents in open multi‑agent environments.

arxiv.org/html/2603.03...

#OpenScience #ComputationalSocialScience #MultiAgentSystems #MoltBook

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I'm writing about this architecture — context graphs → promise graphs → social memory — in my Age AI: Pocket Knowledge Graphs book series.

📚 Vol 1 is out. Next volumes go deep into what lies beyond context graphs.

#AgenticAI #MultiAgentSystems #KnowledgeGraphs #PromiseTheory #AIMemory #SovereignAI

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Claude Agent Teams: Moving Beyond Single-Agent AI to Multi-Agent Orchestration Anthropic's new experimental 'Agent Teams' feature transforms Claude Code from a lone developer into a sophisticated orchestrator, coordinating multiple specialized AI sessions to tackle complex, larg...

Claude Agent Teams: Moving Beyond Single-Agent AI to Multi-Agent Orchestration

techlife.blog/posts/claude...

#AI #Claude #AgentTeams #MultiAgentSystems #SoftwareDevelopment #Anthropic #Automation #DevOps

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The Data Stack’s Next Form Factor: Multi-Agent Systems | HackerNoon Move beyond data monoliths with Da2a, an open-source agentic data platform using the A2A protocol for decentralized analytics.

The Data Stack’s Next Form Factor: Multi-Agent Systems #Technology #EmergingTechnologies #ArtificialIntelligence #MultiAgentSystems #AI #DataStack

hackernoon.com/the-data-stacks-next-for...

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Layered MAPF Outperforms Raw Methods in Time and Memory Benchmarks

Layered MAPF reduces time and memory costs in large multi-agent pathfinding problems, improving success rates for serial solvers. #multiagentsystems

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Why Layered MAPF Algorithms Win on Speed but Lose on Optimality

Layered MAPF solvers cut runtime and memory use while boosting success rates—though often at the cost of longer paths and higher makespan. #multiagentsystems

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Study Finds MAPF Decomposition Efficient Under Low Agent Density

MAPF decomposition reduces solving time and memory—especially on sparse grids—but loses effectiveness as agent density increases. #multiagentsystems

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A New Method for Decomposing MAPF Problems Into Solvable Subproblems

A structured method for decomposing MAPF into clusters and levels, enabling scalable, conflict-free solutions without sacrificing solvability. #multiagentsystems

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A Smarter Way to Scale Multi-Agent Pathfinding | HackerNoon A new LayeredMAPF framework decomposes multi-agent pathfinding into smaller subproblems, reducing complexity while preserving solvability.

A Smarter Way to Scale Multi-Agent Pathfinding #Technology #EmergingTechnologies #ArtificialIntelligence #MultiAgentSystems #Pathfinding

hackernoon.com/a-smarter-way-to-scale-m...

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A Smarter Way to Scale Multi-Agent Pathfinding

A new LayeredMAPF framework decomposes multi-agent pathfinding into smaller subproblems, reducing complexity while preserving solvability. #multiagentsystems

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Researchers Compare CBS, LNS, PBS, and PIBT in the Race to Speed Up Multi-Agent Pathfinding

Survey of MAPF algorithms—from CBS and LNS to PBS and LaCAM—focused on reducing runtime while balancing optimality and scalability. #multiagentsystems

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This New Decomposition Framework Makes Multi-Agent Pathfinding More Scalable

A new decomposition framework reduces time and memory costs in multi-agent pathfinding without sacrificing solvability. #multiagentsystems

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🎟️ expertslive.de#ticket_section

#AgenticAI #SoftwareArchitecture #MultiAgentSystems #Webinar

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Armchair Architects: Multi-agent Orchestration and Patterns
Armchair Architects: Multi-agent Orchestration and Patterns This episode of the Azure Essentials Show brings the Armchair Architects—Uli, Eric, and David—together to tackle multi-agent architecture in the enterprise. You'll get practical insights into orchestrating AI agents, preventing data leaks, managing costs, and choosing the right design patterns. The trio highlight real-world strategies, emerging tools, and actionable frameworks to help you build secure, scalable agent systems. Resources - Azure Architecture Center https://learn.microsoft.com/azure/architecture/ - AutoGen https://www.microsoft.com/research/project/autogen - Introduction to Semantic Kernel https://learn.microsoft.com/semantic-kernel/overview/ - Microsoft Purview https://learn.microsoft.com/purview/ - Microsoft Fabric documentation https://learn.microsoft.com/fabric/ - Agent Framework documentation https://learn.microsoft.com/agent-framework/ Three important things you will learn - How to architect and orchestrate multiple AI agents, including key patterns like specialist delegation, sequential workflows, and parallel agent reasoning. - The importance of data leak prevention, security policies, and governance when deploying agents in enterprise environments. - Practical considerations for agent design, such as cost management, model selection, and leveraging message-based systems for scalability and reliability. Recommended Next Steps - Review and apply message-based architectural patterns (such as those used in message brokers) as a foundation for agent orchestration. - Explore open-source frameworks like Microsoft Research Autogen and Semantic Kernel to understand and experiment with multi-agent patterns. - Assess and implement data governance and security controls, including data leak prevention, for agent interactions within your organization. Related Episodes - Watch more episodes of Armchair Architects https://aka.ms/ArmchairArchitects - Watch more episodes of the Azure Essentials Show https://aka.ms/AzureEssentialsShow Connect - David Blank-Edelman https://www.linkedin.com/in/dnblankedelman/ - Uli Homann https://www.linkedin.com/in/ulrichhomann/ - Eric Charran https://www.linkedin.com/in/ericcharran/ Chapters 00:00 Hey! Good news! 00:29 Welcome architects 01:17 Top things to consider 02:30 Data Leak Prevention (DLP) 04:21 Focused agents 05:45 Agent-to-agent conversations 07:04 Agents as employees 08:36 Cost considerations 09:00 Pattern considerations 11:15 Regression testing 12:12 Parallel pattern 13:38 Sequential pattern 13:51 Specialist pattern 15:05 Search engine example 15:35 Shopping agent example 15:55 Time as a factor 16:30 Negotiation and consensus pattern 17:43 Reviewer pattern 18:58 Message-based patterns 20:40 Check out AutoGen 22:07 PII Trust boundaries

Channel9 Armchair Architects: Multi-agent Orchestration and Patterns: This episode of the Azure Essentials Show brings the Armchair Architects—Uli, Eric, and David—together to tackle multi-agent architecture in the enterprise. You'll get practical… #AIArchitecture #MultiAgentSystems #AzureEssentials

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🤖 IA Agéntica con MCP en DevOps: Pipelines Multiagente Autónomos para SRE

Descubre cómo la IA agéntic

devops.com/mcp-powered-agentic-ai-i...

#ModelContextProtocol #SRE #MultiAgentSystems #RoxsRoss

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Understanding scaling limits clarifies why swarms succeed in logistics but falter in unpredictable environments, guiding realistic deployment strategies. 🤖 #multiagentsystems

Towards a science of scaling agent systems: When and why agent systems work

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AI agents can chat, but they still stumble when they need to think together. New research shows why shared reasoning matters for real teamwork—think context sharing, task handoff, and breaking out of reasoning silos. Curious? Dive in. #MultiAgentSystems #CollaborativeReasoning #SharedIntent

🔗

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Discover the latest in #AIagentdevelopment! Explore platforms for #autonomousagents, multi-agent systems, and #intelligentAIworkflows. Read the full review: medium.com/@addisonoliv...
Build your own #AIagents #AI #AgentBasedSystems #MultiAgentSystems #IntelligentAgents #AIForBusiness #TechInnovation

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🚀 We’re Hiring: LLM & Agentic Consulting Engineer
📍 Remote-base / Hybrid (UK) | client & HQ travel
💼 Permanent | Senior, Hands-on Role

📩 Apply now or message us to learn more.
lnkd.in/ePy84kzw

#Hiring #AIJobs #LLM #AgenticAI #AIEngineering
#RemoteJobs #UKJobs #RAG #MultiAgentSystems #GenAI

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🚀 Explore the Future of #SoftwareDevelopment with #AI!
leetcode.com/discuss/post...
Create AI agents! rubikchat.com
#AIAgentDevelopment #RubikChat #AIChatbotDevelopmentServices #MultiAgentSystems #GenerativeAI #SoftwareAutomation #IntelligentAgents #CodeAutomation #AIFrameworks #LLMDrivenDevelopment

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AAMAS 2026 | Accepted Papers - Research Track 25th International Conference on Autonomous Agents and Multiagent Systems

The wait is over! 🎊

The AAMAS 2026 Accepted Research Track papers are now live!

🔗 View the full list of accepted research papers here:
cyprusconferences.org/aamas2026/ac...

Join us in celebrating the hard work of our global research community!

#AAMAS2026 #MultiAgentSystems #AIResearch

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