{"id":20,"date":"2019-08-05T10:43:50","date_gmt":"2019-08-05T08:43:50","guid":{"rendered":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/aaai-make.info\/?page_id=20"},"modified":"2026-04-05T08:11:11","modified_gmt":"2026-04-05T12:11:11","slug":"aaai-make","status":"publish","type":"page","link":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/makesym.org\/","title":{"rendered":"Machine Learning and Knowledge Engineering for Knowledge-Grounded Semantic Agents (MAKE 2026)"},"content":{"rendered":"\n
\n
Program 2026<\/a><\/div>\n\n\n\n
NAI Journal Special Issue<\/a><\/div>\n\n\n\n
About MAKE<\/a><\/div>\n\n\n\n
Organization and Contact<\/a><\/div>\n<\/div>\n\n\n\n

MAKE 2026 aims to bring together a diverse group of researchers and practitioners to explore integrating machine learning and knowledge engineering in the development of knowledge-grounded semantic agents.<\/p>\n\n\n\n

As artificial intelligence enters a new decade, research is returning to one of its most fundamental paradigms\u2014agents and multi-agent systems\u2014to build systems that can reason, plan, and act autonomously across digital and physical environments. Recent advances in large language models, multimodal perception, and generative AI have accelerated the rise of agents capable of tool use, communication, and complex task execution.<\/p>\n\n\n\n

Yet many of these capabilities rely on approximate forms of reasoning and planning that remain insufficient for dependable decision-making. Integrating machine learning with explicit semantic knowledge structures\u2014such as ontologies, knowledge graphs, and logical reasoning frameworks\u2014offers a path toward agents that are verifiable, explainable, and aligned with human objectives.<\/p>\n\n\n\n

This symposium will provide a forum for fostering collaboration between academia and industry, addressing the challenges of building semantic agents. The goal is to semantically advance agent architectures\u2014including LLM, VLM, VLA, LxM, and multi-agent systems\u2014to become knowledge-grounded, trustworthy, robust, interpretable, and capable of human-aligned reasoning and decision-making across diverse applications.<\/p>\n\n\n\n

\"\"\/<\/div>
\n

MAKE 2026 \u2022 AAAI Spring Symposium Series<\/h2>\n\n\n\n

MAKE 2026 is part of the AAAI Spring Symposium Series, an annual set of meetings run in parallel at a common site.<\/p>\n\n\n\n

The AAAI Spring Symposium Series \u00ab[\u2026] is designed to bring colleagues together in an intimate forum while at the same time providing a significant gathering point for the AI community.<\/p>\n\n\n\n

The two-and-one-half-day format of the series allows participants to devote considerably more time to feedback and discussion than typical one-day workshops. It is an ideal venue for bringing together new communities in emerging fields.\u00bb (aaai.org)<\/p>\n\n\n\n

April 7-April 9, 2026 @ Hyatt Regency, San Francisco Airport | Burlingame, CA, USA<\/strong><\/p>\n<\/div><\/div><\/div>\n\n\n\n

Topics<\/h2>\n\n\n\n

MAKE 2026 serves as a platform to shape the next generation of hybrid AI by bridging the gap between machine learning and knowledge engineering. It emphasizes grounding AI agents in explicit semantics and structured knowledge to achieve reliable, explainable, and human-aligned intelligence. Relevant topics include, but are not limited to:<\/p>\n\n\n\n