Cover Image

Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Magarshak, Gregory
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language Distributed, Parallel, and Cluster Computing Multiagent Systems Programming Languages Software Engineering H.5.3; I.2.7; I.2.4; D.2.11
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive GPU Resource Allocation for Multi-Agent Collaborative Reasoning in Serverless Environments
by: Zhang, Guilin, et al.
Published: (2025)

How Machine Learning-Data Driven Replication Strategies Enhance Fault Tolerance in Large-Scale Distributed Systems
by: Murimi, Almond Kiruthu
Published: (2025)

DAGER: Exact Gradient Inversion for Large Language Models
by: Petrov, Ivo, et al.
Published: (2024)

AMP4EC: Adaptive Model Partitioning Framework for Efficient Deep Learning Inference in Edge Computing Environments
by: Zhang, Guilin, et al.
Published: (2025)

GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration
by: Sarker, Yeahia, et al.
Published: (2026)

Agentic Compilation: Mitigating the LLM Rerun Crisis for Minimized-Inference-Cost Web Automation
by: Chundru, Jagadeesh
Published: (2026)

Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation
by: Radchenko, Gleb, et al.
Published: (2024)

Exploring Design of Multi-Agent LLM Dialogues for Research Ideation
by: Ueda, Keisuke, et al.
Published: (2025)

TAGC: Optimizing Gradient Communication in Distributed Transformer Training
by: Polyakov, Igor, et al.
Published: (2025)

Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters
by: Li, Zonghang, et al.
Published: (2025)

Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project
by: Penke, Carolin, et al.
Published: (2025)

Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route
by: Li, Zonghang, et al.
Published: (2024)

HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation
by: Nguyen, Thinh, et al.
Published: (2025)

The Bureaucracy of Speed: Structural Equivalence Between Memory Consistency Models and Multi-Agent Authorization Revocation
by: Parakhin, Vladyslav
Published: (2026)

Agent Identity URI Scheme: Topology-Independent Naming and Capability-Based Discovery for Multi-Agent Systems
by: Rodriguez Jr, Roland R.
Published: (2026)

SLA Management in Reconfigurable Multi-Agent RAG: A Systems Approach to Question Answering
by: Iannelli, Michael, et al.
Published: (2024)

Towards Building Private LLMs: Exploring Multi-Node Expert Parallelism on Apple Silicon for Mixture-of-Experts Large Language Model
by: Chen, Mu-Chi, et al.
Published: (2025)

De-DSI: Decentralised Differentiable Search Index
by: Neague, Petru, et al.
Published: (2024)

Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
by: Saleh, Alaa, et al.
Published: (2023)

AAFLOW: Scalable Patterns for Agentic AI Workflows
by: Sarker, Arup Kumar, et al.
Published: (2026)

Separating Intelligence from Execution: A Workflow Engine for the Model Context Protocol
by: Parmar, Abhinav Singh
Published: (2026)

A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning
by: Rosendal, Daan, et al.
Published: (2026)

Federated Few-Shot Learning on Neuromorphic Hardware: An Empirical Study Across Physical Edge Nodes
by: Motta, Steven, et al.
Published: (2026)

Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment
by: Jabal, Mohamed Sobhi, et al.
Published: (2026)

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications
by: Chauhan, Dikshit, et al.
Published: (2025)

Token Coherence: Adapting MESI Cache Protocols to Minimize Synchronization Overhead in Multi-Agent LLM Systems
by: Parakhin, Vladyslav
Published: (2026)

From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations for Autonomous Agent Economies
by: Ruan, Anbang
Published: (2026)

ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning
by: Wang, Xiaoyu, et al.
Published: (2025)

Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning
by: Bhattacharya, Siddhartha, et al.
Published: (2024)

Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
by: Dong, Fan, et al.
Published: (2023)

MirLibSpark: A Scalable NGS Plant MicroRNA Prediction Pipeline for Multi-Library Functional Annotation
by: Wu, Chao-Jung, et al.
Published: (2025)

Aergia: Leveraging Heterogeneity in Federated Learning Systems
by: Cox, Bart, et al.
Published: (2022)

Roadmap for Edge AI: A Dagstuhl Perspective
by: Ding, Aaron Yi, et al.
Published: (2021)

Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning
by: Zhang, Haoran, et al.
Published: (2025)

Parameterizing Federated Continual Learning for Reproducible Research
by: Cox, Bart, et al.
Published: (2024)

Asynchronous Byzantine Federated Learning
by: Cox, Bart, et al.
Published: (2024)

Hyper-parameter Optimization for Federated Learning with Step-wise Adaptive Mechanism
by: Saadati, Yasaman, et al.
Published: (2024)

Training Diffusion Models with Federated Learning
by: de Goede, Matthijs, et al.
Published: (2024)

Connecting Large Language Model Agent to High Performance Computing Resource
by: Ma, Heng, et al.
Published: (2025)

Quantize Once, Train Fast: Allreduce-Compatible Compression with Provable Guarantees
by: Xin, Jihao, et al.
Published: (2023)