AI-Assisted Game Theory Approaches to Bid Pricing Under Uncertainty in Construction

AppliedMath, Journal Year: 2025, Volume and Issue: 5(2), P. 39 - 39

Published: April 3, 2025

The construction industry is inherently marked by high uncertainty levels driven its complex processes. These relate to the bidding environment, resource availability, and project requirements. Accurate bid pricing under such remains a critical challenge for contractors seeking competitive advantage while managing risk exposure. This exploratory study integrates artificial intelligence (AI) into game theory models in an AI-assisted framework construction. proposed model addresses uncertainties from external market factors adversarial behaviours scenarios leveraging AI’s predictive capabilities theory’s strategic decision-making principles; integrating extreme gradient boosting (XGBOOST) + hyperparameter tuning Random Forest classifiers. key findings show increase of 5–10% high-inflation periods with accuracy 87% precision 88.4%. AI can classify conservative (70%) aggressive (30%) bidders through analysis, demonstrating potential this integrated approach improve (cost estimates are generally within 10% actual prices), optimise risk-sharing strategies, enhance decision making dynamic environments. research extends current body knowledge reshape bid-pricing strategies AI–game-theoretic uncertainty.

Language: Английский

Benefits and Challenges of AI-Based Digital Twin Integration in the Saudi Arabian Construction Industry: A Correspondence Analysis (CA) Approach

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 4675 - 4675

Published: April 23, 2025

The Fourth Industrial Revolution (4IR) has accelerated the construction industry’s shift toward digital transformation. This progress is mainly driven by emergence of innovative technologies, including artificial intelligence (AI) and twins (DTs). While global research extensively explored benefits challenges AI-based DTs, rapid growth Saudi Arabia’s sector—fueled substantial local investments international partnerships—underscores urgent need to examine their specific impact within this context. To address gap, study aims investigate potential integrating AI-driven DTs into industry. achieve this, a structured literature review survey were conducted among architecture, engineering, (AEC) firms, with 106 complete responses analyzed using correspondence analysis (CA). findings revealed that substantially benefit For example, 17 identified benefits, top-ranked ones include AI capabilities improve analytics, AI’s facilitation in modeling complex real-world systems, strategic decision making. However, several hinder realization these lack standardization integrated DT projects, understanding capabilities, logistics limited availability IT infrastructure, complexity algorithms. These underscore transformative optimize performance, decision-making, complexities. provides actionable insights for stakeholders recommends future exploring strategies overcoming adoption challenges, fostering technological innovation, capacity building sector.

Language: Английский