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AUTHOR(S): Cyrus. F. Nourani
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ABSTRACT AI agents and Mediators define the stages of conceptualization, design and implementation. Objects, message passing actions, and implementing agents are defined by syntactic constructs, with agents appearing as functions. By defining specified agent activators events and activity are computed for the models. There are two specific directions on modelling and with applications AI and the second direction is based on models and transformations. Past few years have brought forth an excellent composition on what might be the practical culmination on modelling, transformations and newer software engineering techniques, for example with SDF, or model refactoring with AGG. Newer techniques and applications to multiagent mission planning and AI system validation systems are presented while bridging the AI-Software design engineering with new multiagent computing techniques. Design validation is based on morphisms on multiagent structures with agent computing processes for object lever programs. The process is applicable to the existing AI systems with structural lifts with objects and ontology preserving functions. Future directions with double-vision orchestration, collaborative AI and spcecrafr mission planning examples, are preseted in brief. |
KEYWORDS Agetic AI, Mission Planning, Agent/ Module Ontology Preservation Principle, Heterogeneous Data and Knowledge Engineering, Validating AI Systems, AIVV, Generative Transformation, Model-based Software Engineering Agents, Model Refactoring |
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Cite this paper Cyrus. F. Nourani. (2026) Heterogeneous Computing, Agent-model based Software Design, and Validating Multiagent AI Agent Processes. International Journal of Computers, 11, 32-50 |
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