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FOR IMMEDIATE RELEASE No. 3859

Mitsubishi Electric Develops Multi-agent AI for Expert-level Decisions through Adversarial Debate (Engels)

Drives efficiency by automating complex decision-making involving trade-offs
Multi-agent AI technology for expert-level decision-making via adversarial debate

Multi-agent AI technology for expert-level decision-making via adversarial debate


TOKYO, January 20, 2026 - Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has developed the manufacturing industry’s first1 multi-agent AI technology that leverages an argumentation framework2 to automatically generate adversarial debates among expert AI agents,3 enabling rapid expert-level decision-making with transparent reasoning. The technology is an outcome of the company’s Maisart®4 AI program and is designed to improve efficiency in complex expert-level decision-making.


Businesses are facing increasingly complex decision-making involving trade-offs, such as security risk assessment and production planning. However, these operations require advanced expertise and are prone to dependency on specific individuals, leading to potential difficulties in making decisions when key personnel are absent and time-consuming consensus-building for compromise solutions. Moreover, concerns about the opacity of AI reasoning have led to resistance in applying AI in critical decision-making. AI adoption has been particularly limited in decisions related to security and safety, where transparent reasoning and evidence are essential.


To address these challenges, Mitsubishi Electric has developed new technology that applies the concept of “adversarial generation,” as seen in Generative Adversarial Networks (GANs),5 to multi-agent AI debates, enabling expert AI agents to compete with each other to derive better conclusions. This technology enables deep insights through adversarial debate and evidence-based decision-making, which are difficult with conventional cooperative multi-agent AI systems. Mitsubishi Electric’s solution allows AI to be deployed in highly specialized decision-making involving complex trade-offs, such as security analysis, production planning, and risk assessment, contributing to operational efficiency.


  • 1

    As of January 20, 2026, according to Mitsubishi Electric research. (As an implementation case in the manufacturing industry.)

  • 2

    A theoretical framework that mathematically defines the structure of logical arguments and automatically constructs relationships of attack and support for arguments.

  • 3

    AI technology that autonomously collects data, selects optimal methods, and executes tasks to achieve goals on behalf of users. Expert AI agents possess advanced expertise and judgment capabilities specialized for specific fields or operations.

  • 4

    "Mitsubishi Electric’s AI creates the State-of-the-ART in technology" :
    Mitsubishi Electric’s AI technology brand aimed at making every device smarter.

  • 5

    A representative method of generative models. Two models, a generator and discriminator, compete with each other to improve learning accuracy.