Adaptive Systems Using Generative AI
• LLM – Large Language Models are a type of Generative AI that uses deep learning techniques and massively large data sets to understand , summarize , generate , and predict new content .
• MAS – Multi-agent systems are distributed independent intelligent systems that interact and work together to achieve a set of goals .
• MAPE-K – Framework for multi-agent systems with capabilities for Monitor , Analyze , Plan , Execute and Knowledge .
2.7 RELATIONSHIP WITH OTHER IIC DOCUMENTS
This document references the IIC white paper “ Digital Twin Core Conceptual Models and Services ” 3 . The characteristics of a digital twin , as defined by Digital Twin Consortium , the IIC ’ s sister consortium , provides the fundamental capability to build adaptive systems .
3 MOTIVATION FOR ADAPTIVE SYSTEMS
Design : Typically , systems are designed to deliver a pre-defined set of objectives ( or goals ) while operating in an environment . Designers make certain assumptions about the environment while designing functional and non-functional capabilities of the system . Well-designed systems take due care to address “ known knowns ” and “ known unknowns .” This can be represented using the Uncertainty Matrix 4 as shown below . The design is vulnerable to partial information available with the designer ( i . e ., “ unknown knowns ”) and to the unknowable information ( i . e ., “ unknown unknowns ”).
Figure 3-1 : Uncertainty matrix .
3 https :// www . iiconsortium . org / iic-download-digital-twin-core-paper /
4 https :// toolbox . nesslabs . com / uncertainty-matrix Journal of Innovation 73