A cognitive prosthesis for complex decision-making

While simple heuristics can be ecologically rational and effective in naturalistic decision making contexts, complex situations require analytical decision making strategies, hypothesis-testing and learning. Sub-optimal decision strategies – using simplified as opposed to analytic decision rules – have been reported in domains such as healthcare, military operational planning, and government policy making. We investigate the potential of a computational toolkit called “IMAGE” to improve decision-making by developing structural knowledge and increasing understanding of complex situations. IMAGE is tested within the context of a complex military convoy management task through (a) interactive simulations, and (b) visualization and knowledge representation capabilities. We assess the usefulness of two versions of IMAGE (desktop and immersive) compared to a baseline. Results suggest that the prosthesis helped analysts in making better decisions, but failed to increase their structural knowledge about the situation once the cognitive prosthesis is removed

Activity-on-arc network graphic editor

This paper presents an application developed to visualize and edit Activity-On-Arc (AoA) project networks. It is part of a larger project that has the goal to study the resource allocation problem in stochastic multimodal activity networks. This application was developed in Java programming language and uses the open source libraries JGraph and JGrapht. It enables one to visualize and edit AoA networks with multiple resources, and save it into one of the two types of files available (TXT or XML).Fundação para a Ciência e a Tecnologia (FCT

Activity-on-arc network graphic editor

This paper presents an application developed to visualize and edit Activity-On-Arc (AoA) project networks. It is part of a larger project that has the goal to study the resource allocation problem in stochastic multimodal activity networks. This application was developed in Java programming language and uses the open source libraries JGraph and JGrapht. It enables one to visualize and edit AoA networks with multiple resources, and save them into one of the two types of files available (TXT or XML)