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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We present the Verse library with the aim of making hybrid systemverification more usable for multi-agent scenarios. In Verse, decision makingagents move in a map and interact with each other through sensors. The decisionlogic for each agent is written in a subset of Python and the continuousdynamics is given by a black-box simulator. Multiple agents can be instantiatedand they can be ported to different maps for creating scenarios. Verse providesfunctions for simulating and verifying such scenarios using existingreachability analysis algorithms. We illustrate several capabilities and usecases of the library with heterogeneous agents, incremental verification,different sensor models, and the flexibility of plugging in differentsubroutines for post computations.

Verse: A Python library for reasoning about multi-agent hybrid system scenarios