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Alkass, S and Harris, F (1988) Expert System for Earthmoving Equipment Selection in Road Construction. Journal of Construction Engineering and Management, 114(03), 426–40.

Chang, L, Hancher, D E, Napier, T R and Kapolnek, R G (1988) Methods to Identify and Assess New Building Technology. Journal of Construction Engineering and Management, 114(03), 408–25.

Diekmann, J E and Kraiem, Z (1988) Explanation of Construction Engineering Knowledge in Expert Systems. Journal of Construction Engineering and Management, 114(03), 364–89.

Hagerty, D J, Schmitt, N G and Vandevelde, G T (1988) Shot‐Rock Fill Construction: Case History. Journal of Construction Engineering and Management, 114(03), 489–502.

Kangari, R, Pruitt, J D and Cheema, T S (1988) Slipforming IBM Tower. Journal of Construction Engineering and Management, 114(03), 472–88.

Karaftath, L L (1988) Rolling Resistance of Off‐Road Vehicles. Journal of Construction Engineering and Management, 114(03), 458–71.

Koehn, E and Manuel, J (1988) Variation in Work Improvement Potential for Small/Medium Contractors. Journal of Construction Engineering and Management, 114(03), 505–9.

Levitt, R E, Kartam, N A and Kunz, J C (1988) Artificial Intelligence Techniques for Generating Construction Project Plans. Journal of Construction Engineering and Management, 114(03), 329–43.

  • Type: Journal Article
  • Keywords: Artificial intelligence; Construction management; Expert systems;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1988)114:3(329)
  • Abstract:
    Enhancements to the theory of network‐based planning techniques invented in the late 1950s, along with improved hardware and software environments, have resulted in elegant and powerful tools for planning today's construction projects. However, a fundamental limitation of these traditional planning techniques is that they are able to manipulate only the data generated by the planning process, not the knowledge used in generating the project plan. Artificial Intelligence (AI) techniques provide the means to generate plans, and to reason with, and provide explanations from, stored knowledge. However, the weak methods, employing little domain knowledge, originally used in AI for planning, proved inadequate for complex real‐life problems such as project planning. As a result, more recent research adopts the knowledge engineering methodology as an efficient approach for developing planning systems. This paper highlights the limitations of existing project planning tools, illustrates the power of AI techniques in the construction planning domain through a summary and critique of previous and current research in AI planning, and concludes with a suggested approach to developing AI‐based project planning techniques for construction.

Stewart, W S and Tatum, C B (1988) Segmental Placement of Renton Outfall: Construction Innovation. Journal of Construction Engineering and Management, 114(03), 390–407.

Tatum, C B (1988) Classification System for Construction Technology. Journal of Construction Engineering and Management, 114(03), 344–63.

Tomlinson, D P and Rhomberg, E J (1988) Contract Officer in Military Service Contracts. Journal of Construction Engineering and Management, 114(03), 441–57.