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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The recently introduced theory of practopoiesis offers an account on howadaptive intelligent systems are organized. According to that theory biologicalagents adapt at three levels of organization and this structure applies also toour brains. This is referred to as tri-traversal theory of the organization ofmind or for short, a T3-structure. To implement a similar T3-organization in anartificially intelligent agent, it is necessary to have multiple policies, asusually used as a concept in the theory of reinforcement learning. Thesepolicies have to form a hierarchy. We define adaptive practopoietic systems interms of hierarchy of policies and calculate whether the total variety ofbehavior required by real-life conditions of an adult human can besatisfactorily accounted for by a traditional approach to artificialintelligence based on T2-agents, or whether a T3-agent is needed instead. Weconclude that the complexity of real life can be dealt with appropriately onlyby a T3-agent.

Only T3-AI can reach human-level intelligence: A variety argument