 | 2012 |
|---|
| 65 |       | Russell C. Thomas,
John S. Gero:
Patterns of Social Influence in a Network of Situated Cognitive Agents
CoRR abs/1204.3341: (2012) |
| 2011 |
|---|
| 64 | | Nick Kelly,
John S. Gero:
Interpretation as driver for psychological creativity.
Creativity & Cognition 2011: 355-356 |
| 2010 |
|---|
| 63 | | Somwrita Sarkar,
Andy Dong,
John S. Gero:
Learning symbolic formulations in design: Syntax, semantics, and knowledge reification.
AI EDAM 24(1): 63-85 (2010) |
| 2009 |
|---|
| 62 | | Ricardo Sosa,
John S. Gero,
Kyle Jennings:
Growing and destroying the worth of ideas.
Creativity & Cognition 2009: 295-304 |
| 61 | | John S. Gero:
Situated Computation.
SoMeT 2009: 495-502 |
| 60 | | Vishal Singh,
Andy Dong,
John S. Gero:
Effects of social learning and team familiarity on team performance.
SpringSim 2009 |
| 59 | | John S. Gero,
Gregory J. Smith:
Context, situations, and design agents.
Knowl.-Based Syst. 22(8): 600-609 (2009) |
| 58 | | John S. Gero,
Wei Peng:
Understanding behaviors of a constructive memory agent: A markov chain analysis.
Knowl.-Based Syst. 22(8): 610-621 (2009) |
| 2008 |
|---|
| 57 | | Ricardo Sosa,
John S. Gero:
Creative Social Systems.
AAAI Spring Symposium: Creative Intelligent Systems 2008: 90-94 |
| 56 | | Ashok K. Goel,
Randall Davis,
John S. Gero:
Multimodal design: An overview.
AI EDAM 22(2): 83-84 (2008) |
| 2007 |
|---|
| 55 | | John S. Gero,
Gregory J. Smith:
Context and Design Agents.
CONTEXT 2007: 220-233 |
| 54 | | John S. Gero:
AI EDAM at 20: Artificial intelligence in designing.
AI EDAM 21(1): 17-18 (2007) |
| 53 | | John S. Gero,
Udo Kannengiesser:
An ontology of situated design teams.
AI EDAM 21(3): 295-308 (2007) |
| 52 | | Andy Dong,
John S. Gero:
Special Issue: Design Computing and Cognition.
AI EDAM 21(4): 315-316 (2007) |
| 51 | | Jeff W. T. Kan,
Zafer Bilda,
John S. Gero:
Comparing entropy measures of idea links in design protocols: Linkography entropy measurement and analysis of differently conditioned design sessions.
AI EDAM 21(4): 367-377 (2007) |
| 50 | | John S. Gero,
Udo Kannengiesser:
A function-behavior-structure ontology of processes.
AI EDAM 21(4): 379-391 (2007) |
| 49 | | Udo Kannengiesser,
John S. Gero:
Agent-Based Interoperability without Product Model Standards.
Comp.-Aided Civil and Infrastruct. Engineering 22(2): 80-97 (2007) |
| 2006 |
|---|
| 48 | | John S. Gero:
Understanding Situated Design Computing and Constructive Memory: Newton, Mach, Einstein and Quantum Mechanics.
EG-ICE 2006: 285-297 |
| 47 | | Wei Peng,
John S. Gero:
Using a Constructive Interactive Activation and Competition Neural Network to Construct a Situated Agent's Experience.
PRICAI 2006: 21-30 |
| 46 | | Julie R. Jupp,
John S. Gero:
Visual style: Qualitative and context-dependent categorization.
AI EDAM 20(3): 247-266 (2006) |
| 45 | | Udo Kannengiesser,
John S. Gero:
Towards mass customized interoperability.
Computer-Aided Design 38(8): 920-936 (2006) |
| 44 | | Julie R. Jupp,
John S. Gero:
A qualitative feature-based characterization of 2D architectural style.
JASIST 57(11): 1537-1550 (2006) |
| 2005 |
|---|
| 43 | | Ricardo Sosa,
John S. Gero:
A computational study of creativity in design: The role of society.
AI EDAM 19(4): 229-244 (2005) |
| 2004 |
|---|
| 42 |  | Udo Kannengiesser,
John S. Gero:
Using Agents in the Exchange of Product Data.
AIAI 2004: 129-140 |
| 41 | | John S. Gero,
Frances M. T. Brazier:
Special Issue: Intelligent agents in design.
AI EDAM 18(2): 113 (2004) |
| 40 | | Rob Saunders,
John S. Gero:
Curious agents and situated design evaluations.
AI EDAM 18(2): 153-161 (2004) |
| 39 | | Pak-San Liew,
John S. Gero:
Constructive memory for situated design agents.
AI EDAM 18(2): 163-198 (2004) |
| 38 | | Gourabmoy Nath,
John S. Gero:
Learning while designing.
AI EDAM 18(4): 315-341 (2004) |
| 2003 |
|---|
| 37 | | Ricardo Sosa,
John S. Gero:
Social Change: Exploring Design Influence.
MABS 2003: 106-119 |
| 36 | | David J. Gunaratnam,
Taivas Degroff,
John S. Gero:
Improving neural network models of physical systems through dimensional analysis.
Appl. Soft Comput. 2(4): 283-296 (2003) |
| 2002 |
|---|
| 35 | | John S. Gero:
Computational models of creative designing based on situated cognition.
Creativity & Cognition 2002: 3-10 |
| 34 | | Rob Saunders,
John S. Gero:
How to study artificial creativity.
Creativity & Cognition 2002: 80-87 |
| 2001 |
|---|
| 33 | | John S. Gero,
Vladimir A. Kazakov:
A Genetic Engineering Approach to Genetic Algorithms.
Evolutionary Computation 9(1): 71-92 (2001) |
| 32 | | John S. Gero,
Rabee M. Reffat:
Multiple representations as a platform for situated learning systems in designing.
Knowl.-Based Syst. 14(7): 337-351 (2001) |
| 2000 |
|---|
| 31 | | John S. Gero,
Vladimir A. Kazakov:
Adaptive enlargement of state spaces in evolutionary designing.
AI EDAM 14(1): 31-38 (2000) |
| 30 | | Xiao-Guang Shi,
John S. Gero:
Design Families and Design Individuals.
Eng. Comput. (Lond.) 16(3-4): 253-263 (2000) |
| 29 | | John S. Gero,
Haruyuki Fujii:
A computational framework for concept formation for a situated design agent.
Knowl.-Based Syst. 13(6): 361-368 (2000) |
| 1999 |
|---|
| 28 | | John S. Gero:
Representation and Reasoning about Shapes: Cognitive and Computational Studies in Visual Reasoning in Design.
COSIT 1999: 315-330 |
| 1998 |
|---|
| 27 | | John S. Gero:
Conceptual designing as a sequence of situated acts.
AI in Structural Engineering 1998: 165-177 |
| 26 | | Michael A. Rosenman,
John S. Gero:
CAD modelling in multidisciplinary design domains.
AI in Structural Engineering 1998: 335-347 |
| 25 | | John S. Gero:
Novel Models in Evolutionary Designing.
SEAL 1998: 381-388 |
| 24 | | Jun H. Jo,
John S. Gero:
Space layout planning using an evolutionary approach.
AI in Engineering 12(3): 149-162 (1998) |
| 23 | | John S. Gero,
Vladimir A. Kazakov:
Evolving design genes in space layout planning problems.
AI in Engineering 12(3): 163-176 (1998) |
| 22 | | John S. Gero:
Concept formation in design.
Knowl.-Based Syst. 11(7-8): 429-435 (1998) |
| 1997 |
|---|
| 21 | | Thorsten Schnier,
John S. Gero:
Dominant and Recessive Genes in Evolutionary Systems Applied to Spatial Reasoning.
Australian Joint Conference on Artificial Intelligence 1997: 127-136 |
| 20 | | John S. Gero,
Vladimir A. Kazakov:
Learning and re-using information in space layout planning problems using genetic engineering.
AI in Engineering 11(3): 329-334 (1997) |
| 1996 |
|---|
| 19 | | José C. Damski,
John S. Gero:
Shape Reasoning in CAD Systems.
IEA/AIE 1996: 369-376 |
| 18 | | John S. Gero:
Improving design problem formulations using machine learning.
AI EDAM 10(2): 147-148 (1996) |
| 17 | | Thorsten Schnier,
John S. Gero:
Learning representations for creative design using evolution.
AI EDAM 10(2): 175-177 (1996) |
| 16 | | Lena Qian,
John S. Gero:
Function-behavior-structure paths and their role in analogy-based design.
AI EDAM 10(4): 289-312 (1996) |
| 15 | | José C. Damski,
John S. Gero:
A logic-based framework for shape representation.
Computer-Aided Design 28(3): 169-181 (1996) |
| 14 | | Michael A. Rosenman,
John S. Gero:
Modelling multiple views of design objects in a collaborative CAD environment.
Computer-Aided Design 28(3): 193-205 (1996) |
| 13 | | John S. Gero:
Creativity, emergence and evolution in design.
Knowl.-Based Syst. 9(7): 435-448 (1996) |
| 1994 |
|---|
| 12 | | John S. Gero,
Enn Tyugu:
Formal Design Methods for CAD, Proceedings of the IFIP TC5/WG5.2 Workshop on Formal Design Methods for CAD, Tallinn, Estonia, 16-19 June, 1994
Elsevier 1994 |
| 11 | | John S. Gero:
Towards a model of exploration in computer-aided design.
Formal Design Methods for CAD 1994: 315-336 |
| 10 | | John S. Gero:
Formal design methods for computer-aided design.
Formal Design Methods for CAD 1994: 353-359 |
| 9 | | John S. Gero,
Sushil J. Louis,
Sourav Kundu:
Evolutionary learning of novel grammars for design improvement.
AI EDAM 8(2): 83-94 (1994) |
| 8 | | Michael A. Rosenman,
John S. Gero:
That what, the how, and the shy in design.
Applied Artificial Intelligence 8(2): 199-218 (1994) |
| 1992 |
|---|
| 7 | | A. Terry Purcell,
John S. Gero:
Effects of examples on the results of a design activity.
Knowl.-Based Syst. 5(1): 82-91 (1992) |
| 1991 |
|---|
| 6 | | John S. Gero,
K. W. Tham,
H. S. Lee:
Behavior: A Link between Function and Structure in Design.
IntCAD 1991: 193-225 |
| 5 | | John S. Gero:
Conference Themes & Predictions.
IntCAD 1991: 447-460 |
| 1990 |
|---|
| 4 | | John S. Gero:
Design Prototypes: A Knowledge Representation Schema for Design.
AI Magazine 11(4): 26-36 (1990) |
| 3 | | John S. Gero,
Michael A. Rosenman:
A conceptual framework for knowledge-based design research at Sydney University's design computing unit.
AI in Engineering 5(2): 65-77 (1990) |
| 1987 |
|---|
| 2 | | Conrad A. Mackenzie,
John S. Gero:
Learning design rules from decisions and performances.
AI in Engineering 2(1): 2-10 (1987) |
| 1974 |
|---|
| 1 | | John S. Gero,
Warren G. Julain,
W. Neville Holmes:
Interaction, interfaces and design.
DAC 1974: 248-256 |
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