Artificial intelligence paradigms

Artificial intelligence paradigms

1. Cognitive paradigm

   • Start from the reproduction of the functions of the mind or the brain in a computer

2. Symbolic Paradigm

   • Based on logical reasoning
   • Heuristic search as pillars for problem solving
   • Operates with abstract representation of the real world

3. Computational paradigm (data-driven)

   • Brute force algorithms that are programmed using the processing speed of the machine
   • Programs capable of developing activities without imitating human thought.

4. Collaborative paradigm (collective)

   • Multi-agent systems
   • More or less autonomous entity, with knowledge of its own and of its environment
   • Possibility of interacting with its environment and with other agents.

5. Enactive paradigm (corporeal and evolutionary)

   • Corporeal
     • It is based on the fact that an intelligent agent
     • Needs a body to have direct experiences with its environment
     • Encoded using a knowledge representation language
   • Evolutionary
     • Mimic evolution
     • Automatically improve solutions to problems for which they were programmed

6. Connectionist paradigm

   • it is an ascending model
   • Intelligence emerges from the distribution of a large number of interconnected units
   • Very approximate models of the electrical activity of biological neurons.

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