3 papers
cs.AI2026
Graph-Based Orchestration of Heterogeneous AI Models: A Control Node Approach to Composite Intelligence
G. Michael Youngblood, Filip Dvořák, Slavo Švancár +3
We present a graph-based framework for Composite AI systems that integrate multiple AI techniques to address complex problems. We describe an architecture using specialized control…
cs.AI2024
Planning Domain Model Acquisition from State Traces without Action Parameters
Tomáš Balyo, Martin Suda, Lukáš Chrpa +5
Existing planning action domain model acquisition approaches consider different types of state traces from which they learn. The differences in state traces refer to the level of o…
cs.AI2024
Cloud Kitchen: Using Planning-based Composite AI to Optimize Food Delivery Processes
Slavomír Švancár, Lukáš Chrpa, Filip Dvořák +1
The global food delivery market provides many opportunities for AI-based services that can improve the efficiency of feeding the world. This paper presents the Cloud Kitchen platfo…