Construct (python library)
Related papers: 20
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Construct is a Python library designed for building and simulating agent-based cognitive architectures and social systems. It enables researchers and engineers to model how autonomous agents perceive information, form beliefs, and make decisions within networked environments, making it particularly useful for studying human-robot interaction, multi-agent coordination, and organizational behavior. In robotics and AI, Construct is applied to simulate how robots or software agents exchange knowledge, develop mental models, and adapt their behavior based on social and informational influences within a group or system. The library provides tools to define agent properties, communication networks, and knowledge-processing mechanisms, allowing users to run controlled experiments without physical hardware. This matters because understanding how information flows through a team of robots or between humans and robots is critical for designing systems that collaborate effectively, maintain situational awareness, and scale reliably. By offering a programmable, reproducible simulation environment, Construct accelerates research into collective intelligence, trust dynamics, and autonomous decision-making before deployment in real-world robotic applications.
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APPLICATION OF THEOREM PROVING TO PROBLEM SOLVING**This research is a part of Project Defender and was supported by the Advanced Research Projects Agency of the Department of Defense and was monitored by Rome Air Development Center under Contracts AF 30(602)-4147 and F30602-69-C-0056.††This preprint is a preliminary version and is subject to modification prior to publication.
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