A deductive reasoning agent is one that contains an explicitily represented, symbolic model of the world. It then makes decisions via symbolic reasoning.
Limitations
When building an agent this way there are two key problems that have to be solved.
The Transduction Problem
This is the problem of translating the real world into accurate, adequate symbolic description, in time for that description to be useful…
These are problems of vision, speech understanding, learning etc.
The Representation/Reasoning Problem
This is the problem of how to symbolically represent information about complex real-world entities and processes and how to get agents to reason with this information in time for the results to be useful…
These are problems of knowledge representation, automated reasoning, automatic planning etc.
Related posts:
- Agent Architecture
- What is an Agent?
- Program Comprehension Strategies
- Agent Tasks
- The Mechanics of Interaction
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