In many planning situations, a planner is required to return a diverse set of plans satisfying the same goals which will be used by the external systems collectively. We take a do...
Biplav Srivastava, Tuan A. Nguyen, Alfonso Gerevin...
Boolean linear programs (BLPs) are ubiquitous in AI. Satisfiability testing, planning with resource constraints, and winner determination in combinatorial auctions are all example...
Dale Schuurmans, Finnegan Southey, Robert C. Holte
Complex adaptive systems (CAS) modeling has become a common tool to study the behavioral dynamics of agents in a broad range of disciplines from ecology to economics. Many modelers...
Marshall A. Kuypers, Walter E. Beyeler, Robert J. ...
Mega grids span several continents and may consist of millions of nodes and billions of tasks executing at any point in time. This setup calls for scalable and highly available re...
The design of effective neighborhood structures is fundamentally important for creating better local search and metaheuristic algorithms for combinatorial optimization. Significant...