We are transiting to the second quarter of the century, and by now are aware of the potential of AI. Since then, we have shifted attention from AI to AI agents. These agents will follow a pattern of evolution, passing through different levels.
The very beginning of AI agents is through Reactive Agents. These do not rely on memory or learn from their past. They follow predefined rules to respond to inputs. A basic chatbot is a Reactive Agent. Later comes Task-specialized Agents who excel in specific tasks and outperform humans in these tasks. A recommendation engine of an e-commerce site is an example. Domain experts train these systems. Next, we shall examine Context-Aware Agents. They analyze complex scenario, historical data, real-time streams and unstructured information. They adapt to all these and then respond. Neural network initiated by Geoffrey Hinton and Yam LeCun are examples. Beyond this are Socially Savvy Agents lying at the intersection of AI and emotional intelligence. They can deal with customer service. Self-reflecting Agents try to improve themselves. They are aware of the philosophical discussions about consciousness. They refine algos governing them. AGI-powered Agents are integrators and coordinators. They can handle data from multiple spheres. Last, we can envisage Superintelligent Agents who will surpass human intelligence.
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