English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper presents a method for multi-agent cooperative reasoning with E-knowledge and I-knowledge. We explain the meanings of E-knowledge and I-knowledge and show their importance for multi-agent cooperative reasoning. We consider how to translate E-knowledge and I-knowledge statements with the possible-world semantics into their corresponding statements in first order logic. Communication among agents is also incorporated into our method. An example is given to show how to use E-knowledge and I-knowledge to describe and solve multi-agent cooperative reasoning problems

Multi-Agent Cooperative Reasoning Using <em>E</em>-knowledge and <em>I</em>-knowledge