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New paper defines AI agent types, proposes GIC architecture

By PulseAugur Editorial · [3 sources] ·

A new academic paper proposes a framework for understanding and building AI agents, distinguishing between "agentic" systems that rely on external scaffolding and "agentive" systems with internalized capabilities. The paper introduces the Goal-Identity-Configurator (GIC) architecture, which aims to enable true autonomy and endogenous capabilities for AI agents. The authors also discuss the implications for auditability, controllability, and safety of increasingly autonomous AI systems. AI

IMPACT Clarifies the distinction between engineered AI workflows and true AI autonomy, impacting future agent development and safety research.

RANK_REASON The cluster contains an academic paper discussing AI agent architectures and proposing a new model.

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New paper defines AI agent types, proposes GIC architecture

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The cluster contains an academic paper discussing AI agent architectures and proposing a new model.
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COVERAGE [3]

  1. arXiv cs.AI TIER_1 Français(FR) · Eric Xing, Mingkai Deng, Jinyu Hou ·

    Critique of Agent Model

    arXiv:2606.23991v1 Announce Type: new Abstract: What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems marketed as ``coding agents'', ``AI co-scientists'', and other ``agentic" tools that promise to drive up productivity, and at the same ti…

  2. arXiv cs.MA (Multiagent) TIER_1 Français(FR) · Jinyu Hou ·

    Critique of Agent Model

    What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems marketed as ``coding agents'', ``AI co-scientists'', and other ``agentic" tools that promise to drive up productivity, and at the same time, ``existential" concerns such as AI escaping …

  3. Hugging Face Daily Papers TIER_1 Français(FR) ·

    Critique of Agent Model

    True artificial agency requires internalized structures for goals, identity, decision-making, self-regulation, and learning, distinguishing autonomous systems from task-specific ones.

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