John E. Laird

2008
68		Samuel Wintermute, John E. Laird: Bimodal Spatial Reasoning with Continuous Motion. AAAI 2008: 1331-1337
67		John E. Laird: Extending the Soar Cognitive Architecture. AGI 2008: 224-235
2007
66		Andrew Nuxoll, John E. Laird: Extending Cognitive Architecture with Episodic Memory. AAAI 2007: 1560-1564
65		Samuel Wintermute, John E. Laird: Predicate Projection in a Bimodal Spatial Reasoning System. AAAI 2007: 1572-1577
64		Samuel Wintermute, Joseph Xu, John E. Laird: SORTS: A Human-Level Approach to Real-Time Strategy AI. AIIDE 2007: 55-60
2006
63		John E. Laird, Jonathan Schaeffer: Proceedings of the Second Artificial Intelligence and Interactive Digital Entertainment Conference, June 20-23, 2006, Marina del Rey, California The AAAI Press 2006
62	EE	Tolga Könik, John E. Laird: Learning goal hierarchies from structured observations and expert annotations. Machine Learning 64(1-3): 263-287 (2006)
2005
61		R. Michael Young, John E. Laird: Proceedings of the First Artificial Intelligence and Interactive Digital Entertainment Conference, June 1-5, 2005, Marina del Rey, California, USA AAAI Press 2005
60		Robert E. Wray, John E. Laird, Andrew Nuxoll, Devvan Stokes, Alex Kerfoot: Synthetic Adversaries for Urban Combat Training. AI Magazine 26(3): 82-92 (2005)
2004
59		Brian Magerko, John E. Laird, Mazin Assanie, Alex Kerfoot, Devvan Stokes: AI Characters and Directors for Interactive Computer Games. AAAI 2004: 877-883
58		Robert E. Wray, John E. Laird, Andrew Nuxoll, Devvan Stokes, Alex Kerfoot: Synthetic Adversaries for Urban Combat Training. AAAI 2004: 923-930
57	EE	John E. Laird: A Hands-on Tutorial for Building Agent Models in Soar. ICCM 2004
56	EE	Robert Marinier, John E. Laird: Toward a Comprehensive Computational Model of Emotions and Feelings. ICCM 2004: 172-177
55	EE	Shelley Nason, John E. Laird: Integrating Reinforcement Learning with Soar. ICCM 2004: 208-213
54	EE	Andrew Nuxoll, John E. Laird: A Cognitive Model of Episodic Memory Integrated with a General Cognitive Architecture. ICCM 2004: 220-225
53	EE	John E. Laird, Andrew Nuxoll: Comprehensive Working Memory Activation in Soar. ICCM 2004: 226-230
52	EE	Tolga Könik, John E. Laird: Learning Goal Hierarchies from Structured Observations and Expert Annotations. ILP 2004: 198-215
2003
51		Scott A. Wallace, John E. Laird: Behavior Bounding: Toward Effective Comparisons of Agents & Humans. IJCAI 2003: 727-732
50	EE	Robert E. Wray III, John E. Laird: An Architectural Approach to Ensuring Consistency in Hierarchical Execution. J. Artif. Intell. Res. (JAIR) 19: 355-398 (2003)
2002
49	EE	Bruce S. Elenbogen, John E. Laird, Richard J. Enbody, Chris McDonald, Peter B. Henderson, Richard Nau, Steven L. Tanimoto: Mathematics preparation for undergraduate degrees in computer science. SIGCSE 2002: 98-99
48	EE	John E. Laird: Research in human-level AI using computer games. Commun. ACM 45(1): 32-35 (2002)
47	EE	Kenneth D. Forbus, John E. Laird: Guest Editors' Introduction: AI and the Entertainment Industry. IEEE Intelligent Systems 17(4): 15-16 (2002)
2001
46	EE	John E. Laird: It knows what you're going to do: adding anticipation to a Quakebot. Agents 2001: 385-392
45	EE	Michael van Lent, John E. Laird: Learning procedural knowledge through observation. K-CAP 2001: 179-186
44		John E. Laird, Michael van Lent: Human-Level AI's Killer Application: Interactive Computer Games. AI Magazine 22(2): 15-26 (2001)
43		Lorraine M. Fesq, Ella M. Atkins, Lina Khatib, Charles Pecheur, Paul R. Cohen, Lynn Andrea Stein, Michael van Lent, John E. Laird, Alessandro Provetti, Tran Cao Son: AAAI 2001 Spring Symposium Series Reports. AI Magazine 22(3): 117-122 (2001)
42	EE	John E. Laird: Using a Computer Game to Develop Advanced AI. IEEE Computer 34(7): 70-75 (2001)
2000
41		John E. Laird, Michael van Lent: Human-Level AI's Killer Application: Interactive Computer Games. AAAI/IAAI 2000: 1171-1178
1999
40		Michael van Lent, John E. Laird, Josh Buckman, Joe Hartford, Steve Houchard, Kurt Steinkraus, Russ Tedrake: Intelligent Agents in Computer Games. AAAI/IAAI 1999: 929-930
39		Scott A. Wallace, John E. Laird: Toward a Methodology for AI Architecture Evaluation: Comparing Soar and CLIPS. ATAL 1999: 117-131
38		Michael van Lent, John E. Laird: Learning Hierarchical Performance Knowledge by Observation. ICML 1999: 229-238
37		Randolph M. Jones, John E. Laird, Paul E. Nielsen, Karen J. Coulter, Patrick G. Kenny, Frank V. Koss: Automated Intelligent Pilots for Combat Flight Simulation. AI Magazine 20(1): 27-41 (1999)
1998
36		Randolph M. Jones, John E. Laird, Paul E. Nielsen: Automated Intelligent Pilots for Combat Flight Simulation. AAAI/IAAI 1998: 1047-1054
35		Robert E. Wray III, John E. Laird: Ensuring Reasoning Consistency in Hierarchical Architectures. AAAI/IAAI 1998: 1206
34		Robert E. Wray III, John E. Laird: Maintaining Consistency in Hierarchical Reasoning. AAAI/IAAI 1998: 928-935
33	EE	Randolph M. Jones, John E. Laird, Paul E. Nielsen: Real-Time Intelligent Characters for a Non-Visual Simulation Environment. CA 1998: 11-18
32		John E. Laird, Randolph M. Jones, Paul E. Nielsen: Knowledge-based Multi-agent Coordination. Presence 7(6): 547-563 (1998)
1997
31		John E. Laird, Douglas J. Pearson, Scott B. Huffman: Knowledge-Directed Adaptation in Multi-Level Agents. J. Intell. Inf. Syst. 9(3): 261-275 (1997)
1996
30		Robert E. Wray III, John E. Laird, Randolph M. Jones: Compilation of Non-Contemporaneous Constraints. AAAI/IAAI, Vol. 1 1996: 771-778
29		Craig S. Miller, John E. Laird: Accounting for Graded Performance within a Discrete Search Framework. Cognitive Science 20(4): 499-537 (1996)
1995
28		John E. Laird, Randolph M. Jones, Paul E. Nielsen: Multiagent Coordination in Distributed Interactive Battlefield Simulations. ICMAS 1995: 456
27		Douglas J. Pearson, John E. Laird: Toward Incremental Knowledge Correction for Agents in Complex Environments. Machine Intelligence 15 1995: 185-204
26		Milind Tambe, W. Lewis Johnson, Randolph M. Jones, Frank V. Koss, John E. Laird, Paul S. Rosenbloom, Karl Schwamb: Intelligent Agents for Interactive Simulation Environments. AI Magazine 16(1): 15-39 (1995)
25	EE	Robert E. Wray III, Ronald Chong, Joseph Phillips, Seth Rogers, William Walsh, John E. Laird: Organizing Information in Mosaic: A Classroom Experiment. Computer Networks and ISDN Systems 28(1&2): 167-178 (1995)
24		Scott B. Huffman, John E. Laird: Flexibly Instructable Agents. J. Artif. Intell. Res. (JAIR) 3: 271-324 (1995)
1994
23		Scott B. Huffman, John E. Laird: Learning from Highly Flexible Tutorial Instruction. AAAI 1994: 506-512
1993
22		Scott B. Huffman, John E. Laird: Instructo-Soar: Learning from Interactive Natural Language Instructions (Video Abstract). AAAI 1993: 857
21		Douglas J. Pearson, Randolph M. Jones, John E. Laird: AIR-SOAR: Intelligent Multi-Level Control. AAAI 1993: 860-861
20		Scott B. Huffman, John E. Laird: Learning Procedures from Interactive Natural Language Instructions. ICML 1993: 143-150
19		Paul S. Rosenbloom, John E. Laird: On Unified Theories of Cognition: A Response to the Reviews. Artif. Intell. 59(1-2): 389-413 (1993)
18	EE	Douglas J. Pearson, Scott B. Huffman, Mark B. Willis, John E. Laird, Randolph M. Jones: A symbolic solution to intelligent real-time control. Robotics and Autonomous Systems 11(3-4): 279-291 (1993)
1992
17		John E. Laird, Paul S. Rosenbloom: In Pursuit of Mind: The Research of Allen Newell. AI Magazine 13(4): 17-45 (1992)
1991
16		Craig S. Miller, John E. Laird: A Constraint-Motivated Model of Lexical Acquisition. ML 1991: 95-99
15		Paul S. Rosenbloom, John E. Laird, Allen Newell, Robert McCarl: A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence. Artif. Intell. 47(1-3): 289-325 (1991)
14	EE	John E. Laird, Eric S. Yager, Michael Hucka, Christopher M. Tuck: Robo-Soar: An integration of external interaction, planning, and learning using Soar. Robotics and Autonomous Systems 8(1-2): 113-129 (1991)
13		John E. Laird: Preface for Special Section on Integrated Cognitive Architectures. SIGART Bulletin 2(4): 12-13 (1991)
12		John E. Laird, Michael Hucka, Scott B. Huffman, Paul S. Rosenbloom: An Analysis of Soar as an Integrated Architecture. SIGART Bulletin 2(4): 98-103 (1991)
1990
11		John E. Laird, Paul S. Rosenbloom: Integrating, Execution, Planning, and Learning in Soar for External Environments. AAAI 1990: 1022-1029
10		John E. Laird, Michael Hucka, Eric S. Yager, Christopher M. Tuck: Correcting and Extending Domain Knowledge using Outside Guidance. ML 1990: 235-243
1989
9		Usama M. Fayyad, John E. Laird, Keki B. Irani: The Fifth International Conference on Machine Learning (Report). AI Magazine 10(2): 79-84 (1989)
1988
8		John E. Laird: Recovery from Incorrect knowledge in Soar. AAAI 1988: 618-623
1987
7		Paul S. Rosenbloom, John E. Laird, Allen Newell: Knowledge Level Learning in Soar. AAAI 1987: 499-504
6		Andrew R. Golding, Paul S. Rosenbloom, John E. Laird: Learning General Search Control from Outside Guidance. IJCAI 1987: 334-337
5		John E. Laird, Allen Newell, Paul S. Rosenbloom: SOAR: An Architecture for General Intelligence. Artif. Intell. 33(1): 1-64 (1987)
1986
4		Paul S. Rosenbloom, John E. Laird: Mapping Explanation-Based Generalization onto Soar. AAAI 1986: 561-567
3		John E. Laird, Paul S. Rosenbloom, Allen Newell: Chunking in Soar: The Anatomy of a General Learning Mechanism. Machine Learning 1(1): 11-46 (1986)
1984
2		John E. Laird, Paul S. Rosenbloom, Allen Newell: Towards Chunking as a General Learning Mechanism. AAAI 1984: 188-192
1983
1		John E. Laird, Allen Newell: A Universal Weak Method: Summary of Results. IJCAI 1983: 771-773

Coauthor Index

1	Mazin Assanie	[59]
2	Ella M. Atkins	[43]
3	Josh Buckman	[40]
4	Ronald Chong	[25]
5	Paul R. Cohen	[43]
6	Karen J. Coulter	[37]
7	Bruce S. Elenbogen	[49]
8	Richard J. Enbody	[49]
9	Usama M. Fayyad	[9]
10	Lorraine M. Fesq	[43]
11	Kenneth D. Forbus	[47]
12	Andrew R. Golding	[6]
13	Joe Hartford	[40]
14	Peter B. Henderson	[49]
15	Steve Houchard	[40]
16	Michael Hucka	[10] [12] [14]
17	Scott B. Huffman	[12] [18] [20] [22] [23] [24] [31]
18	Keki B. Irani	[9]
19	W. Lewis Johnson	[26]
20	Randolph M. Jones	[18] [21] [26] [28] [30] [32] [33] [36] [37]
21	Patrick G. Kenny	[37]
22	Alex Kerfoot	[58] [59] [60]
23	Lina Khatib	[43]
24	Tolga Könik	[52] [62]
25	Frank V. Koss	[26] [37]
26	Michael van Lent	[38] [40] [41] [43] [44] [45]
27	Brian Magerko	[59]
28	Robert Marinier	[56]
29	Robert McCarl	[15]
30	Chris McDonald	[49]
31	Craig S. Miller	[16] [29]
32	Shelley Nason	[55]
33	Richard Nau	[49]
34	Allen Newell	[1] [2] [3] [5] [7] [15]
35	Paul E. Nielsen	[28] [32] [33] [36] [37]
36	Andrew Nuxoll	[53] [54] [58] [60] [66]
37	Douglas J. Pearson	[18] [21] [27] [31]
38	Charles Pecheur	[43]
39	Joseph Phillips	[25]
40	Alessandro Provetti	[43]
41	Seth Rogers	[25]
42	Paul S. Rosenbloom	[2] [3] [4] [5] [6] [7] [11] [12] [15] [17] [19] [26]
43	Jonathan Schaeffer	[63]
44	Karl Schwamb	[26]
45	Tran Cao Son	[43]
46	Lynn Andrea Stein	[43]
47	Kurt Steinkraus	[40]
48	Devvan Stokes	[58] [59] [60]
49	Milind Tambe	[26]
50	Steven L. Tanimoto	[49]
51	Russ Tedrake	[40]
52	Christopher M. Tuck	[10] [14]
53	Scott A. Wallace	[39] [51]
54	William Walsh	[25]
55	Mark B. Willis	[18]
56	Samuel Wintermute	[64] [65] [68]
57	Robert E. Wray	[58] [60]
58	Robert E. Wray III	[25] [30] [34] [35] [50]
59	Joseph Xu	[64]
60	Eric S. Yager	[10] [14]
61	R. Michael Young	[61]

Colors in the list of coauthors