David W. Aha - researchr alias

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2011

Integrated Learning for Goal-Driven AutonomyUlit Jaidee, Héctor Muñoz-Avila, David W. Aha. IJCAI 2011: 2450-2455 [doi]

The Case for Case-Based Transfer LearningMatthew Klenk, David W. Aha, Matthew Molineaux. aim, 32(1):54-69, 2011. [doi]

Active and Interactive Discovery of Goal Selection KnowledgeJay Powell, Matthew Molineaux, David W. Aha. flairs 2011: [doi]

2010

Meta-Prediction for Collective ClassificationLuke McDowell, Kalyan Moy Gupta, David W. Aha. flairs 2010: [doi]

Goal-Driven Autonomy in a Navy Strategy SimulationMatthew Molineaux, Matthew Klenk, David W. Aha. AAAI 2010: [doi]

Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous EffectsMatthew Molineaux, Matthew Klenk, David W. Aha. AAAI 2010: [doi]

Applying Goal Driven Autonomy to a Team Shooter GameHector Muñoz-Avila, David W. Aha, Ulit Jaidee, Matthew Klenk, Matthew Molineaux. flairs 2010: [doi]

Goal-Driven Autonomy with Case-Based ReasoningHéctor Muñoz-Avila, Ulit Jaidee, David W. Aha, Elizabeth Carter. iccbr 2010: 228-241 [doi]

2009

Case-Based Reasoning in Transfer LearningDavid W. Aha, Matthew Molineaux, Gita Sukthankar. iccbr 2009: 29-44 [doi]

Case-Based Approximate ReasoningDavid W. Aha. ki, 23(1):45, 2009. [doi]

Case-Based Collective Inference for Maritime Object ClassificationKalyan Moy Gupta, David W. Aha, Philip Moore. iccbr 2009: 434-449 [doi]

Improving Offensive Performance Through Opponent ModelingKennard Laviers, Gita Sukthankar, David W. Aha, Matthew Molineaux. aiide 2009:

Constructing Game Agents from Video of Human BehaviorNan Li, David J. Stracuzzi, Gary Cleveland, Tolga Könik, Daniel G. Shapiro, Matthew Molineaux, David W. Aha, Kamal Ali. aiide 2009:

Cautious Collective ClassificationLuke McDowell, Kalyan Moy Gupta, David W. Aha. jmlr, 10:2777-2836, 2009. [doi]

Beating the Defense: Using Plan Recognition to Inform Learning AgentsMatthew Molineaux, David W. Aha, Gita Sukthankar. flairs 2009:

Design of an Integrated Web Services Brokering SystemFrederick E. Petry, Roy Ladner, Kalyan Moy Gupta, Philip Moore, David W. Aha. ijitwe, 4(3):58-77, 2009. [doi]

2008

2007

2006

A Testbed for Evaluating AI Research Systems in Commercial GamesDavid W. Aha, Matthew Molineaux, Philip Moore. aiide 2006: 137-138

Rough Set Feature Selection Algorithms for Textual Case-Based ClassificationKalyan Moy Gupta, David W. Aha, Philip Moore. ewcbr 2006: 166-181 [doi]

Automatically Generating Game Tactics through Evolutionary LearningMarc J. V. Ponsen, Hector Muñoz-Avila, Pieter Spronck, David W. Aha. aim, 27(3):75-84, 2006. [doi]

2005

Learning to Win: Case-Based Plan Selection in a Real-Time Strategy GameDavid W. Aha, Matthew Molineaux, Marc J. V. Ponsen. iccbr 2005: 5-20 [doi]

Conversational Case-Based ReasoningDavid W. Aha. premi 2005: 30 [doi]

Advances in conversational case-based reasoningDavid W. Aha, David McSherry, Qiang Yang. ker, 20(3):247-254, 2005. [doi]

Case-based reasoning commentaries: introductionDavid W. Aha, Cindy Marling, Ian D. Watson. ker, 20(3):201-202, 2005. [doi]

Automating Planning Using Natural LanguageKalyan Moy Gupta, David W. Aha. flairs 2005: 828-829

Rough Set Feature Selection Methods for Case-Based Categorization of Text DocumentsKalyan Moy Gupta, Philip G. Moore, David W. Aha, Sankar K. Pal. premi 2005: 792-798 [doi]

Learning approximate preconditions for methods in hierarchical plansOkhtay Ilghami, Héctor Muñoz-Avila, Dana S. Nau, David W. Aha. icml 2005: 337-344 [doi]

Learning Preconditions for Planning from Plan Traces and HTN StructureOkhtay Ilghami, Dana S. Nau, HÃ©ctor MuÃ±oz-Avila, David W. Aha. ci, 21(4):388-413, 2005. [doi]

TIELT: A Testbed for Gaming EnvironmentsMatthew Molineaux, David W. Aha. AAAI 2005: 1690-1691

Evaluating Case-Based Systems in Virtual GamesKeith Needels, Matthew Molineaux, David W. Aha. iccbr 2005: 206-216

Automatically Acquiring Domain Knowledge For Adaptive Game AI Using Evolutionary LearningMarc J. V. Ponsen, Héctor Muñoz-Avila, Pieter Spronck, David W. Aha. AAAI 2005: 1535-1540

2004

Learning Feature Taxonomies for Case IndexingKalyan Moy Gupta, David W. Aha, Philip G. Moore. ewcbr 2004: 211-226 [doi]

Towards Acquiring Case Indexing Taxonomies From TextKalyan Moy Gupta, David W. Aha. flairs 2004:

2003

Assessing Elaborated Hypotheses: An Interpretive Case-Based Reasoning ApproachJ. William Murdock, David W. Aha, Len Breslow. iccbr 2003: 332-346 [doi]

Case-Based Argumentation via Process ModelsJ. William Murdock, David W. Aha, Len Breslow. flairs 2003: 134-138

Intelligent delivery of military lessons learnedRosina Weber, David W. Aha. dss, 34(3):287-304, 2003. [doi]

2002

2001

Bridging the Lesson Distribution GapDavid W. Aha, Rosina Weber, Héctor Muñoz-Avila, Len Breslow, Kalyan Moy Gupta. IJCAI 2001: 987-992

Case-Based Reasoning Research and Development, 4th International Conference on Case-Based Reasoning, ICCBR 2001, Vancouver, BC, Canada, July 30 - August 2, 2001, ProceedingsDavid W. Aha, Ian Watson, editors, Volume 2080 of Lecture Notes in Computer Science, Springer, 2001.

Introduction: Interactive Case-Based ReasoningDavid W. Aha, Héctor Muñoz-Avila. apin, 14(1):7-8, 2001.

Conversational Case-Based ReasoningDavid W. Aha, Len Breslow, Héctor Muñoz-Avila. apin, 14(1):9-32, 2001.

SiN: Integrating Case-based Reasoning with Task DecompositionHéctor Muñoz-Avila, David W. Aha, Dana S. Nau, Rosina Weber, Len Breslow, Fusun Yaman. IJCAI 2001: 999-1004

Intelligent lessons learned systemsRosina Weber, David W. Aha, Irma Becerra-Fernandez. eswa, 20(1):17-34, 2001. [doi]

2000

Integrating Conversational Case Retrieval with generative PlanningHéctor Muñoz-Avila, David W. Aha, Len Breslow, Dana S. Nau, Rosina Weber-Lee. ewcbr 2000: 210-221 [doi]

Active Delivery for Lessons Learned SystemsRosina Weber, David W. Aha, Héctor Muñoz-Avila, Len Breslow. ewcbr 2000: 322-334 [doi]

An Intelligent Lessons Learned ProcessRosina Weber, David W. Aha, Héctor Muñoz-Avila, Len Breslow. ismis 2000: 358-367 [doi]

Active Case-Based Reasoning for Lessons Delivery SystemRosina Weber, David W. Aha, Karl Branting, J. Robert Lucas, Irma Becerra-Fernandez. flairs 2000: 170-174

1999

1998

1997

EditorialDavid W. Aha. air, 11(1-5):7-10, 1997.

Refining Conversational Case LibrariesDavid W. Aha, Len Breslow. iccbr 1997: 267-278

Case-Based Learning: Beyond Classification of Feature VectorsDavid W. Aha, Dietrich Wettschereck. ecml 1997: 329-336

A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning AlgorithmsDietrich Wettschereck, David W. Aha, Takao Mohri. air, 11(1-5):273-314, 1997.

1995

Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving EpisodesKarl Branting, David W. Aha. IJCAI 1995: 384-390

Weighting FeaturesDietrich Wettschereck, David W. Aha. iccbr 1995: 347-358

1994

Inverting Implication with Small Training SetsDavid W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin. ecml 1994: 31-48

Learning Recursive Relations with Randomly Selected Small Training SetsDavid W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin. icml 1994: 12-18

Towards a Better Understanding of Memory-based Reasoning SystemsJohn Rachlin, Simon Kasif, Steven Salzberg, David W. Aha. icml 1994: 242-250

1992

Generalizing from Case studies: A Case StudyDavid W. Aha. icml 1992: 1-10

Tolerating Noisy, Irrelevant and Novel Attributes in Instance-Based Learning AlgorithmsDavid W. Aha. ijmms, 36(2):267-287, 1992.

1991

Incremental Constructive Induction: An Instance-Based ApproachDavid W. Aha. icml 1991: 117-121

Instance-Based Learning AlgorithmsDavid W. Aha, Dennis F. Kibler, Marc K. Albert. ml, 6:37-66, 1991.

Analyses of Instance-Based Learning AlgorithmsMarc K. Albert, David W. Aha. AAAI 1991: 553-558

1989

Noise-Tolerant Instance-Based Learning AlgorithmsDavid W. Aha, Dennis F. Kibler. IJCAI 1989: 794-799

Incremental, Instance-Based Learning of Independent and Graded Concept DescriptionsDavid W. Aha. icml 1989: 387-391

Instance-based prediction of real-valued attributesDennis F. Kibler, David W. Aha, Marc K. Albert. ci, 5:51-57, 1989.

1988

Comparing Instance-Averaging with Instance-Filtering Learning AlgorithmsDennis F. Kibler, David W. Aha. ecml 1988: 63-79