AI Paradigms on English AI Terms Dictionary

Symbolic artificial intelligence

Sat, 18 Jul 2026 10:17:26 +0000

Definition

Symbolic artificial intelligence, often called GOFAI (Good Old-Fashioned AI), relies on manipulating symbols and rules to perform reasoning and problem-solving. Unlike connectionist approaches, it emphasizes explicit knowledge representation using logic, semantics, and ontologies. This paradigm excels in domains requiring transparency, explainability, and strict adherence to logical constraints. While it struggles with ambiguity and learning from raw data compared to modern machine learning, it remains vital for applications needing deterministic outcomes and clear audit trails.

Hybrid intelligent system

Sat, 18 Jul 2026 10:01:39 +0000

Definition

A Hybrid Intelligent System (HIS) merges different AI paradigms, typically combining connectionist approaches like neural networks with symbolic methods like expert systems or fuzzy logic. This integration aims to leverage the learning capability and pattern recognition of neural networks alongside the interpretability, reasoning, and rule-based decision-making of symbolic systems. HIS is particularly valuable in domains requiring both high accuracy and explainable decisions, such as medical diagnosis or autonomous driving.

Cognitive computing

Sat, 18 Jul 2026 09:49:50 +0000

Definition

Cognitive computing is a branch of artificial intelligence that seeks to interact with humans naturally while also simulating human brain processes. These systems use machine learning, deep learning, and natural language processing to perceive, reason, and learn. Unlike traditional transactional systems, cognitive systems handle ambiguity, adapt to changing contexts, and provide insights based on vast amounts of unstructured data, aiming to augment human decision-making rather than replace it.

Summary

Cognitive computing refers to systems that simulate human thought processes in a computerized model, using AI to mimic human brain functions.

multi-agent

Sat, 18 Jul 2026 09:39:01 +0000

Definition

Multi-agent systems consist of several independent, intelligent entities that perceive their environment, make decisions, and act upon it. These agents may cooperate, compete, or negotiate with one another to solve complex problems that are difficult or impossible for a single agent to handle alone. This paradigm is essential for modeling distributed systems, simulating social dynamics, and coordinating robotic swarms.

Summary

A system architecture where multiple autonomous agents interact within an environment to achieve individual or collective goals.