John S. Gero

Vishal Singh, Andy Dong, John S. Gero: Developing a computational model to understand the contributions of social learning modes to task coordination in teams. AI EDAM 27(1): 3-17 (2013)

Russell C. Thomas, John S. Gero: Patterns of Social Influence in a Network of Situated Cognitive Agents. CoRR abs/1204.3341 (2012)

Nick Kelly, John S. Gero: Interpretation as driver for psychological creativity. Creativity & Cognition 2011: 355-356

Somwrita Sarkar, Andy Dong, John S. Gero: Learning symbolic formulations in design: Syntax, semantics, and knowledge reification. AI EDAM 24(1): 63-85 (2010)

John S. Gero, Gregory J. Smith: Context, situations, and design agents. Knowl.-Based Syst. 22(8): 600-609 (2009)

John S. Gero, Wei Peng: Understanding behaviors of a constructive memory agent: A markov chain analysis. Knowl.-Based Syst. 22(8): 610-621 (2009)

Ricardo Sosa, John S. Gero, Kyle Jennings: Growing and destroying the worth of ideas. Creativity & Cognition 2009: 295-304

John S. Gero: Situated Computation. SoMeT 2009: 495-502

Vishal Singh, Andy Dong, John S. Gero: Effects of social learning and team familiarity on team performance. SpringSim 2009

Ashok K. Goel, Randall Davis, John S. Gero: Multimodal design: An overview. AI EDAM 22(2): 83-84 (2008)

Vishal Singh, Andy Dong, John S. Gero: Social learning in design teams: The importance of direct and indirect communications. AI EDAM 27(2): 167-182 (2008)

Ricardo Sosa, John S. Gero: Creative Social Systems. AAAI Spring Symposium: Creative Intelligent Systems 2008: 90-94

John S. Gero: AI EDAM at 20: Artificial intelligence in designing. AI EDAM 21(1): 17-18 (2007)

John S. Gero, Udo Kannengiesser: An ontology of situated design teams. AI EDAM 21(3): 295-308 (2007)

Andy Dong, John S. Gero: Special Issue: Design Computing and Cognition. AI EDAM 21(4): 315-316 (2007)

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)

John S. Gero, Udo Kannengiesser: A function-behavior-structure ontology of processes. AI EDAM 21(4): 379-391 (2007)

Udo Kannengiesser, John S. Gero: Agent-Based Interoperability without Product Model Standards. Comp.-Aided Civil and Infrastruct. Engineering 22(2): 80-97 (2007)

John S. Gero, Gregory J. Smith: Context and Design Agents. CONTEXT 2007: 220-233

Julie R. Jupp, John S. Gero: Visual style: Qualitative and context-dependent categorization. AI EDAM 20(3): 247-266 (2006)

Udo Kannengiesser, John S. Gero: Towards mass customized interoperability. Computer-Aided Design 38(8): 920-936 (2006)

Julie R. Jupp, John S. Gero: A qualitative feature-based characterization of 2D architectural style. JASIST 57(11): 1537-1550 (2006)

John S. Gero: Understanding Situated Design Computing and Constructive Memory: Newton, Mach, Einstein and Quantum Mechanics. EG-ICE 2006: 285-297

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

Ricardo Sosa, John S. Gero: A computational study of creativity in design: The role of society. AI EDAM 19(4): 229-244 (2005)

John S. Gero, Frances M. T. Brazier: Special Issue: Intelligent agents in design. AI EDAM 18(2): 113 (2004)

Rob Saunders, John S. Gero: Curious agents and situated design evaluations. AI EDAM 18(2): 153-161 (2004)

Pak-San Liew, John S. Gero: Constructive memory for situated design agents. AI EDAM 18(2): 163-198 (2004)

Gourabmoy Nath, John S. Gero: Learning while designing. AI EDAM 18(4): 315-341 (2004)

Udo Kannengiesser, John S. Gero: Using Agents in the Exchange of Product Data. AIAI 2004: 129-140

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)

Ricardo Sosa, John S. Gero: Social Change: Exploring Design Influence. MABS 2003: 106-119

John S. Gero: Computational models of creative designing based on situated cognition. Creativity & Cognition 2002: 3-10

Rob Saunders, John S. Gero: How to study artificial creativity. Creativity & Cognition 2002: 80-87

John S. Gero, Vladimir A. Kazakov: A Genetic Engineering Approach to Genetic Algorithms. Evolutionary Computation 9(1): 71-92 (2001)

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)

John S. Gero, Vladimir A. Kazakov: Adaptive enlargement of state spaces in evolutionary designing. AI EDAM 14(1): 31-38 (2000)

Xiao-Guang Shi, John S. Gero: Design Families and Design Individuals. Eng. Comput. (Lond.) 16(3-4): 253-263 (2000)

John S. Gero, Haruyuki Fujii: A computational framework for concept formation for a situated design agent. Knowl.-Based Syst. 13(6): 361-368 (2000)

John S. Gero: Representation and Reasoning about Shapes: Cognitive and Computational Studies in Visual Reasoning in Design. COSIT 1999: 315-330

Jun H. Jo, John S. Gero: Space layout planning using an evolutionary approach. AI in Engineering 12(3): 149-162 (1998)

John S. Gero, Vladimir A. Kazakov: Evolving design genes in space layout planning problems. AI in Engineering 12(3): 163-176 (1998)

John S. Gero: Concept formation in design. Knowl.-Based Syst. 11(7-8): 429-435 (1998)

John S. Gero: Conceptual designing as a sequence of situated acts. AI in Structural Engineering 1998: 165-177

Michael A. Rosenman, John S. Gero: CAD modelling in multidisciplinary design domains. AI in Structural Engineering 1998: 335-347

John S. Gero: Novel Models in Evolutionary Designing. SEAL 1998: 381-388

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)

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

John S. Gero: Improving design problem formulations using machine learning. AI EDAM 10(2): 147-148 (1996)

Thorsten Schnier, John S. Gero: Learning representations for creative design using evolution. AI EDAM 10(2): 175-177 (1996)

Lena Qian, John S. Gero: Function-behavior-structure paths and their role in analogy-based design. AI EDAM 10(4): 289-312 (1996)

José C. Damski, John S. Gero: A logic-based framework for shape representation. Computer-Aided Design 28(3): 169-181 (1996)

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)

John S. Gero: Creativity, emergence and evolution in design. Knowl.-Based Syst. 9(7): 435-448 (1996)

José C. Damski, John S. Gero: Shape Reasoning in CAD Systems. IEA/AIE 1996: 369-376

Michael A. Rosenman, John S. Gero: That what, the how, and the shy in design. Applied Artificial Intelligence 8(2): 199-218 (1994)

John S. Gero, Sushil J. Louis, Sourav Kundu: Evolutionary learning of novel grammars for design improvement. AI EDAM 8(2): 83-94 (1994)

John S. Gero: Towards a model of exploration in computer-aided design. Formal Design Methods for CAD 1994: 315-336

John S. Gero: Formal design methods for computer-aided design. Formal Design Methods for CAD 1994: 353-359

John S. Gero, Enn Tyugu (Eds.): 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. IFIP Transactions B-18, Elsevier 1994, isbn 0-444-81970-3

A. Terry Purcell, John S. Gero: Effects of examples on the results of a design activity. Knowl.-Based Syst. 5(1): 82-91 (1992)

John S. Gero, K. W. Tham, H. S. Lee: Behavior: A Link between Function and Structure in Design. IntCAD 1991: 193-225

John S. Gero: Conference Themes & Predictions. IntCAD 1991: 447-460

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)

John S. Gero: Design Prototypes: A Knowledge Representation Schema for Design. AI Magazine 11(4): 26-36 (1990)

Conrad A. Mackenzie, John S. Gero: Learning design rules from decisions and performances. AI in Engineering 2(1): 2-10 (1987)

John S. Gero, Warren G. Julain, W. Neville Holmes: Interaction, interfaces and design. DAC 1974: 248-256