Unlike narrow or specialized ai systems designed for specific tasks, Artificial General Intelligence (AGI) can perform a wide range of functions that aim to replicate the broad cognitive capabilities and adaptability of human intelligence. AGI can function autonomously by making decisions and taking actions independently. AGI may also understand ambiguous or incomplete information.
Achieving AGI is a complex and challenging task, as it requires solving numerous difficult problems in machine learning, natural language processing, robotics, and other ai-related fields.
Researchers at the National Key Laboratory for Artificial General Intelligence propose a new way to assess AGI by introducing the Tong test. “Tong” corresponds to the Chinese character for general in AGI.
They propose that AGI assessment should be scenario-based with the complex DEPSI environments. They say that only through assessments within DEPSI can AGI human skills such as common sense reasoning, inference of intentions from social interactions, confidence and self-awareness be quickly assessed. The Tong test offers a new perspective on AGI assessment by emphasizing the importance of DEPSI as a value-oriented rather than task-oriented skills assessment.
The Tong test is an assessment and referral system that focuses on essential characteristics such as infinite tasks, autonomous task generation, value alignment, and causal understanding. Their proposed virtual platform could also support embedded ai in training and testing. Embedded ai agents acquire information within this platform and continue to learn and hone their values and skills interactively.
To support infinite tasks, they follow a compositional graphical model as a basic form of knowledge representation that analyzes the spatial, temporal, and causal relationships of any given scene. They define a fluid space for variables that vary in time; these represent all possible scene configurations that can be represented within a continuous DEPSI environmental space.
The Tong test covers two domains called the dual UV system. The U system describes the agent’s understanding of extrinsic physical or social rules. In contrast, system V comprises the agent’s intrinsic values, defined as a set of value functions upon which the agent’s self-driven behaviors are built. The Tong test platform has modules for visualization of intermediate data and a dashboard that displays model performance, indicating how well the tested model performed.
Therefore, the proposed Tong test based on DEPSI defines the five multidimensional levels of values and abilities and provides a practical path to construct a theoretical guide for the development of ai algorithms.
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Arshad is an intern at MarktechPost. He is currently pursuing his international career. Master’s degree in Physics from the Indian Institute of technology Kharagpur. Understanding things down to the fundamental level leads to new discoveries that lead to the advancement of technology. He is passionate about understanding nature fundamentally with the help of tools such as mathematical models, machine learning models, and artificial intelligence.
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