rAIson: Developing Reliable Decision-Making Agents

2026-05-02

AI Summary

This work addresses the critical challenge of enabling non-expert users to construct reliable, interpretable, and practically deployable automated decision agents for complex real-world scenarios without requiring programming expertise. To this end, we present rAIson, a higher-order abstraction–based agent development platform that integrates automated reasoning, built-in reliability guarantees, and intrinsic explainability mechanisms. The framework empowers users to efficiently design sophisticated decision-making agents while significantly lowering the technical barrier to entry. rAIson has achieved engineering maturity, facilitating rapid construction and deployment of intelligent agents in authentic application settings.

Abstract

This paper presents the rAIson platform, a high-level technological environment for the development of automated, reliable and explainable decision-making agents. The research underlying the platform and its technological progress has now reached a mature stage that allows the platform to be used for the development of complex real-life applications without writing a single line of code.

Problem

• reliable decision-making
• explainable AI
• automated agents
• no-code platform
• AI agent development

Innovation

• rAIson
• decision-making agents
• explainable AI
• no-code platform
• automated reasoning