ASI Alliance Unveils AIRIS: The AI That ‘Learns’ Within Minecraft
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The ASI Alliance has unveiled AIRIS (Autonomous Intelligent Reinforcement Inferred Symbolism), an innovative entity that “learns” in the widely recognized game, Minecraft.
AIRIS marks the first prototype of AGI (Artificial General Intelligence) to leverage an extensive technological framework provided by the alliance.
Founded by the celebrated AI researcher Dr Ben Goertzel, SingularityNET utilizes agent technology from Fetch.ai, integrates Ocean Data to enhance long-term memory capacities, and is anticipated to incorporate CUDOS Compute infrastructure for enhanced processing capabilities in the near future.
“AIRIS marks a notable advancement towards practical and scalable neural-symbolic learning. It not only showcases significant capabilities but also highlights key insights regarding neural-symbolic systems, including their potential to derive precise, generalisable conclusions from limited datasets,” states Goertzel.
The organization indicates that this collaboration-driven approach advances AIRIS toward artificial general intelligence (AGI)—developing one of the pioneering intelligent systems capable of autonomous and adaptive learning with real-world utility.
AIRIS is designed to deepen its comprehension by engaging directly with its surroundings, moving beyond conventional AI constraints that rely heavily on predetermined rules or extensive data repositories. Rather, AIRIS progresses through observation, experimentation, and the ongoing enhancement of its individual “rule set.”
This innovative system enables exceptional problem-solving abilities and contextual understanding, with its application in Minecraft establishing a new standard for AI engagement in both digital and physical environments.
The transition from a controlled 2D grid to the complex 3D landscape of Minecraft presented AIRIS with a host of challenges, particularly in navigating terrain and adapting to problem-solving in a constantly changing environment. This shift highlights AIRIS’s independence in terms of navigation, exploration, and the learning process.
The AIRIS Minecraft Agent sets itself apart from other AI entities through a number of distinctive attributes:
AIRIS is skilled at handling varying terrains, such as bodies of water and intricate cave systems, which leads to the development of advanced rule refinement based on practical experience. Furthermore, AIRIS exhibits optimized computational efficiency, allowing it to manage complex rules in real time without sacrificing performance.
Minecraft provides an excellent starting point for AIRIS’ potential applications, creating a robust base for broad implementations:
The shift of AIRIS into 3D environments marks a crucial step in the ASI Alliance’s goal to develop AGI. With AIRIS’s progress in exploring and learning in Minecraft, the ASI Alliance aims to accelerate its real-world application, setting the stage for uses in autonomous robotics, smart home assistants, and various systems that require adaptive learning and problem-solving abilities.
Berick Cook, an AI Developer at SingularityNET and the creator of AIRIS, stated: “AIRIS represents an innovative approach to the challenges of machine learning. We are just beginning to tap into its potential. We are eager to discover how we can leverage it to tackle issues that have long been difficult for traditional reinforcement learning.”
“To me, the most crucial aspect of AIRIS is its transparency and capability for explanation. Shifting away from ‘Black Box’ AI signifies a major advancement in our quest for safe, ethical, and beneficial artificial intelligence.”
The groundbreaking strategy utilized in AIRIS, which focuses on self-directed learning and ongoing refinement of rules, sets the groundwork for artificial intelligence systems that can operate independently in unpredictable real-world scenarios. The complex ecosystem of Minecraft allows the system to enhance its abilities in a controlled yet vast virtual environment, effectively bridging the gap between simulation and reality.
The AIRIS Minecraft Agent marks the first concrete advancement toward an AI that learns from, adapts to, and autonomously makes decisions regarding its surroundings. This achievement highlights the promising prospects of such technology to transform AI’s function across multiple industries.
(Image by SkyeWeste)
See also: SingularityNET bets on supercomputer network to deliver AGI
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Tags: agi, ai, airis, artificial intelligence, ben goertzel, fetch ai, fetch.ai, learning, singularitynet
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