Reasoning Model

A Reasoning Model is a computational model that can perform reasoning tasks through inference mechanisms (to derive conclusions from premises).

• AKA: Inference Model, Logical Model, Reasoning System Model.
• Context:
  • It can typically implement Reasoning Methods through reasoning model algorithms.
  • It can typically process Knowledge Representations through reasoning model inference rules.
  • It can typically generate Logical Conclusions from reasoning model premise sets.
  • It can typically maintain Reasoning States during reasoning model computation processes.
  • It can typically support Inference Patterns through reasoning model rule application.
  • ...
  • It can often enable Automated Reasoning through reasoning model systematic procedures.
  • It can often facilitate Problem Solving through search strategies.
  • It can often provide Explanation Generation for reasoning model decisions.
  • It can often incorporate Uncertainty Handling in reasoning model probabilistic inference.
  • ...
  • It can range from being a Symbolic Reasoning Model to being a Neural Reasoning Model, depending on its reasoning model representation type.
  • It can range from being a Deductive Reasoning Model to being an Inductive Reasoning Model, depending on its reasoning model inference direction.
  • It can range from being a Monotonic Reasoning Model to being a Non-Monotonic Reasoning Model, depending on its reasoning model revision capability.
  • It can range from being a Exact Reasoning Model to being an Approximate Reasoning Model, depending on its reasoning model precision level.
  • ...
  • It can integrate with Reasoning Task for reasoning model task execution.
  • It can connect to Reasoning Method for reasoning model methodology implementation.
  • It can interface with Knowledge Base for reasoning model knowledge access.
  • It can communicate with Inference Engine for reasoning model computation.
  • It can synchronize with Learning System for reasoning model adaptation.
  • ...
• Example(s):
  • First-Order Logic Model implementing reasoning model predicate logic.
  • Bayesian Network Model performing reasoning model probabilistic inference.
  • Rule-Based Reasoning Model using reasoning model production rules.
  • Case-Based Reasoning Model applying reasoning model similarity metrics.
  • ...
• Counter-Example(s):
  • Statistical Model, which performs pattern recognition without logical inference.
  • Database System, which stores information without reasoning capability.
  • Classification Model, which assigns labels without inference chains.
• See: Reasoning Task, Reasoning Method, Deductive Reasoning Algorithm, Inductive Reasoning System, Abductive Reasoning Algorithm, Common Sense Reasoning Ability, Defeasible Reasoning.

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