His primary areas of investigation include Artificial intelligence, Case-based reasoning, Plan, Hierarchical task network and Flow shop scheduling. In the field of Artificial intelligence, his study on Game design overlaps with subjects such as Non-cooperative game. Héctor Muñoz-Avila combines subjects such as Qualitative reasoning, Applied research, Knowledge management, Reasoning system and Data science with his study of Case-based reasoning.
His Plan study combines topics in areas such as Generative grammar and Operations research. He has included themes like Machine learning, Soundness and Knowledge engineering in his Hierarchical task network study. His Flow shop scheduling research overlaps with Order and Planner.
His main research concerns Artificial intelligence, Plan, Case-based reasoning, Domain and Hierarchical task network. His work in Artificial intelligence covers topics such as Machine learning which are related to areas like Domain knowledge. His Plan research is multidisciplinary, relying on both Human–computer interaction and Adaptation.
His research investigates the connection between Case-based reasoning and topics such as Operations research that intersect with problems in Planning algorithms. He has researched Domain in several fields, including Set, Business system planning and Nondeterministic algorithm. His research investigates the link between Hierarchical task network and topics such as Software engineering that cross with problems in Project plan.
His scientific interests lie mostly in Artificial intelligence, Autonomy, Goal reasoning, Multimedia and Hierarchical task network. The concepts of his Artificial intelligence study are interwoven with issues in Domain, Machine learning and Action. His biological study deals with issues like Case-based reasoning, which deal with fields such as State.
The various areas that Héctor Muñoz-Avila examines in his Goal reasoning study include Robotics, Management science, Knowledge management and Natural language processing. His Hierarchical task network study frequently draws connections to other fields, such as Set. His Plan research includes themes of Ontology, Information retrieval, Key and Abstraction.
Héctor Muñoz-Avila focuses on Artificial intelligence, Hierarchical task network, Autonomy, Action and Course of action. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Management science and Knowledge management. His Hierarchical task network research is multidisciplinary, incorporating perspectives in Domain, Machine learning and Set.
Héctor Muñoz-Avila has researched Domain in several fields, including Solver and Hierarchical control system. His research integrates issues of Consistency, Representation and Domain knowledge in his study of Machine learning. He integrates many fields, such as Course of action and engineering, in his works.
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SHOP: Simple Hierarchical Ordered Planner
Dana S. Nau;Yue Cao;Amnon Lotem;Hector Muñoz-Avila.
international joint conference on artificial intelligence (1999)
Conversational Case-Based Reasoning
David W. Aha;Leonard A. Breslow;Héctor Muñoz-Avila.
Applied Intelligence (2001)
Applications of SHOP and SHOP2
D. Nau;T.-C. Au;O. Ilghami;U. Kuter.
IEEE Intelligent Systems (2005)
Total-order planning with partially ordered subtasks
Dana Nau;Héctor Muñoz-Avila;Yue Cao;Amnon Lotem.
international joint conference on artificial intelligence (2001)
HTN-MAKER: learning HTNs with minimal additional knowledge engineering required
Chad Hogg;Héctor Muñoz-Avila;Ugur Kuter.
national conference on artificial intelligence (2008)
Hierarchical plan representations for encoding strategic game AI
Hai Hoang;Stephen Lee-Urban;Héctor Muñoz-Avila.
national conference on artificial intelligence (2005)
HICAP: an interactive case-based planning architecture and its application to noncombatant evacuation operations
Héctor Muñoz-Avila;David W. Aha;Len Breslow;Dana Nau.
national conference on artificial intelligence (1999)
Automatically Generating Game Tactics through Evolutionary Learning
Marc J. V. Ponsen;Hector Muñoz-Avila;Pieter Spronck;David W. Aha.
innovative applications of artificial intelligence (2006)
Case-based reasoning integrations
Cynthia Marling;Mohammed Sqalli;Edwina Rissland;Hector Muñoz-Avila.
Ai Magazine (2002)
Case-Based Plan Adaptation: An Analysis and Review
H. Munoz-Avila;M.T. Cox.
IEEE Intelligent Systems (2008)
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