Impactful AI combines multiple agents and multiple intelligence technologies

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There is no “god AI” that solves it all. One agent will not be enough. Just like a human utilizes their hands, feet, experience, weather data and topography to determine the best golf club and swing for the job, an AI solution must engage multiple agents with unique skills.

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Multi-agent AI systems are powerful because they leverage multiple technologies to bring different intelligence capabilities into one unified system.

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So what qualities help an AI system make smart decisions? Here are six intelligence characteristics to look for in an AI system, and the enabling technologies that provide them.‍

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Perception is the ability to take in information about your environment and draw conclusions about it. Use machine learning to bring perception to AI with things like machine vision, classification and pattern recognition. ‍

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Learning is the ability to get better with experience. Deep reinforcement learning allows an AI system to practice in simulation, experiment, and improve performance over time.‍

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Strategy is what allows a human or an AI system to perform effectively in different situations. Experts can use knowledge graphs to teach AI systems how to apply the appropriate strategy to succeed in different scenarios. ‍

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Forward-planning is the ability to navigate complex and dynamic environments and changing conditions. AI can incorporate forward-planning abilities using optimization algorithms. ‍

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Deduction means inferring information from things that can’t be perceived or verified directly. Through learning and experience, autonomous AI systems can do the same.‍

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Language confers the ability to capture nuance and coordinate decisions. AI can access language-based decision skills through LLMs and generative AI.

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Each of these capabilities is powerful on its own, but the smartest decision-making comes when they are put together – just like for humans. That’s why composite multi-agent AI systems can solve unsolvable problems, outperform traditional automation and ordinary AI, and earn millions in ROI.

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