Logic enables us to uncover patterns and understand the interconnectivity underneath the surface, or unpuzzle the myth behind intelligence.
Inference
-Reasoning: Reasoning consists of deriving inferences or conclusions from a set of premises by applying logical rules or laws.
Types of Reasoning: Psychologists distinguish between two main kinds of reasoning: deduction and induction.
-Deduction: Deduction analyzes valid argument forms, drawing out the conclusions implicit in their premises.
-Induction: Induction argues from many instances to a general statement. Major kinds of inductive reasoning include causal, categorical, and analogical inference.
-Statistical Inference: In statistics, inference is the process of drawing conclusions about a parameter one seeks to measure or estimate.
inference and deference in business logic: Inference in logic involves deriving conclusions from given information or premises through acceptable reasoning forms. These forms include deduction, induction, probability, and statistical reasoning.
Forms of Inference
-Deduction: Deduction analyzes valid argument forms, drawing out conclusions implicit in their premises.
-Induction: Induction argues from many instances to a general statement.
-Probability: Probability passes from frequencies within a known domain to conclusions of stated likelihood.
Statistical reasoning Statistical reasoning concludes that, on average, a certain percentage of a set of entities will satisfy the stated conditions.
In artificial intelligence (AI), inference involves the ability of a computer or robot to perform tasks associated with human intellectual processes, such as reasoning. It is a rule-governed move from a number of propositions to a new one in reasoning that furthers knowledge of a given topic.
Inference in AI
-Reasoning: AI focuses on components of intelligence like reasoning, which involves drawing inferences appropriate to a situation.
-Deductive Inference: In deduction, the truth of the premises guarantees the truth of the conclusion.
-Inductive Inference: In induction, the truth of the premises lends support to the conclusion without giving absolute assurance.
-Ampliative Reasoning: AI systems use ampliative reasoning to lead to new or useful information, even if the conclusions are not necessarily true.
-Bias: AI systems can be biased, leading to discriminatory outcomes if the training data contains historical prejudices or lacks representation from diverse groups.
Logic enables us to uncover patterns and understand the interconnectivity underneath the surface, or unpuzzle the myth behind intelligence. Science is the process used to form a well-thought out strategy and the process for putting the strategy into actions to get the desired business results
0 comments:
Post a Comment