Terminologies Associated with Perception In AI Agents
There are a few terminologies associated with the AI Agents’ perception
- Percept: This refers to the sensory input received by an agent at any given moment. For instance, a human agent perceiving a music tone might decide to dance, or a virtual assistant like Siri perceiving sound might place a call.
- Percept Sequence: It encompasses the entire history of sensory inputs that an agent has ever received. An agent’s decision-making process may depend on its percept sequence, which is a common approach in the functioning of learning agents. For example, an automated driving system bases its actions on its percept sequence.
Perception in AI Agents
Perception stands as a foundational concept in the realm of AI, enabling agents to glean insights from their environment through sensory inputs. From visual interpretation to auditory recognition, perceptions empower AI agents to make informed decisions, adapt to dynamic conditions, and interact meaningfully with their surroundings. In this discourse, we explore the pivotal role of perceptions in shaping the capabilities of AI agents and driving advancements in artificial intelligence.
Table of Content
- What Are Agents?
- What is Perception in AI Agents?
- Terminologies Associated with Perception In AI Agents
- Steps involved in building the perception of an AI Agents
- Types of Perception in AI Agents
- Role of Perceptions In AI Agents
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