ACT-R
ACT-R is a cognitive architecture that models human thought processes to simulate learning, memory, and problem-solving in artificial intelligence and psychology.
200 plain-language definitions from the TiorAI glossary, filed under AI Agents & Systems. Every entry opens with a one-sentence definition, then explains where the term is used.
ACT-R is a cognitive architecture that models human thought processes to simulate learning, memory, and problem-solving in artificial intelligence and psychology.
Agent Architecture is the underlying design framework that defines how an intelligent agent perceives, processes, and acts within its environment.
Agent Clone is a digital replica of a software agent designed to perform tasks autonomously by mimicking the behavior and decision-making processes of the original agent.
Agent Communication Language is a specialized language designed to enable autonomous software agents to exchange information, negotiate, and collaborate effectively.
Agent Container is a modular environment that hosts, manages, and supports software agents to perform automated tasks efficiently.
Agent lifecycle is the series of stages an autonomous or software agent undergoes from creation to termination within a system.
An Agent Management System is a software platform designed to organize, monitor, and optimize the activities and performance of agents within an organization.
Agent Migration is the process by which a software agent moves its execution and state from one computing environment to another to continue its tasks seamlessly.
Agent Platform is a software environment designed to create, manage, and deploy intelligent agents that automate tasks and facilitate decision-making processes.
Agent Reputation is the perceived trustworthiness and reliability of a digital or human agent based on its past actions and interactions.
Agent Security is the practice of protecting software agents from unauthorized access, manipulation, and threats to ensure safe and reliable automated operations.
Agent Speak is a programming language designed to specify the behavior and decision-making processes of autonomous software agents in multi-agent systems.
Agent Trust is the level of confidence and reliability assigned to an autonomous agent or software bot based on its behavior and performance.
Argumentation is the process of presenting reasons and evidence to support or oppose a claim in a clear and logical manner.
Asimov's Laws are a set of three fictional ethical rules designed to govern the behavior of robots and ensure they act safely and beneficially toward humans.
An auction is a public sale event where goods or services are sold to the highest bidder through competitive bidding.
Autonomous vehicle is a self-driving car that uses advanced sensors and software to navigate and operate without human intervention.
Autonomy is the ability of an individual or system to operate independently without external control or influence.
Backward chaining is a reasoning method that starts with a goal and works backward to find the necessary conditions or facts to achieve that goal.
Bargaining is the process of negotiating terms and conditions between parties to reach a mutually beneficial agreement.
BDI Agent is an intelligent software entity designed to simulate human-like decision-making based on Beliefs, Desires, and Intentions.
Behavior Tree is a hierarchical model used to design and control complex decision-making processes in AI, robotics, and game development.
Belief-Desire-Intention (BDI) is a cognitive model used to describe and simulate rational decision-making based on an agent’s beliefs, desires, and intentions.
Benevolence is the quality of showing kindness and a genuine desire to do good for others without expecting anything in return.
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