Using argumentation strategies in automated argument generation | Zendy

Ingrid Zukerman | Zendy; Richard McConachy | Zendy; Kevin B. Korb | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Using argumentation strategies in automated argument generation

Author(s) -

Ingrid Zukerman,

Richard McConachy,

Kevin B. Korb

Publication year - 2000

Language(s) - English

Resource type - Conference proceedings

ISBN - 965-90296-0-8

DOI - 10.3115/1118253.1118262

Subject(s) - argumentation theory , argument (complex analysis) , premise , variety (cybernetics) , computer science , mechanism (biology) , management science , argumentation framework , artificial intelligence , epistemology , engineering , philosophy , chemistry , biochemistry

During argumentation, people persuade their audience using a variety of strategies, e.g., hypothetical reasoning, reasoning by cases and ordinary premise-to-goal arguments. In this paper, we offer an operational definition of the conditions for pursuing these strategies, and incorporate into a Bayesian argument-generation system a mechanism for proposing applicable argumentation strategies, generating specific arguments based on these strategies, and selecting a final argument.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research