This document summarizes Broward County's Recycling Grants Program which provides funds to cities to increase recycling. It discusses the policy goals driving the program, past workshops and recommendations, and the program's application and reporting processes. Eligible expenses include rollout carts, program upgrades, and outreach. Success will be measured by tons collected and diversion rates. The Technical Advisory Committee discussion will focus on ensuring funded projects are sustainable and increase recycling tonnage.
This document summarizes Broward County's Recycling Grants Program which provides funds to cities to increase recycling. It discusses the policy goals driving the program, past workshops and recommendations, and the program's application and reporting processes. Eligible expenses include rollout carts, program upgrades, and outreach. Success will be measured by tons collected and diversion rates. The Technical Advisory Committee discussion will focus on ensuring funded projects are sustainable and increase recycling tonnage.
The document discusses combining branching time logic with logics of knowledge for reasoning about multi-agent systems. It proposes an update and abstraction algorithm for model checking Computational Tree Logic with Knowledge (Act-CTL-K) in perfect recall synchronous settings. The key points are:
1) The algorithm transforms Act-CTL-K formulas of bounded knowledge depth k into Act-CTL, using k-trees and knowledge update functions to represent the original environment.
2) A k-tree is a finite tree of height k that represents the knowledge of agents. Knowledge update functions are defined to transform k-trees after actions.
3) The resulting model checking algorithm solves Act-CTL on the transformed k-trees,
The document discusses combining branching time logic with logics of knowledge for reasoning about multi-agent systems. It proposes an update and abstraction algorithm for model checking Computational Tree Logic with Knowledge (Act-CTL-K) in perfect recall synchronous settings. The key points are:
1) The algorithm transforms Act-CTL-K formulas of bounded knowledge depth k into Act-CTL, using k-trees and knowledge update functions to represent the original environment.
2) A k-tree is a finite tree of height k that represents the knowledge of agents. Knowledge update functions are defined to transform k-trees after actions.
3) The resulting model checking algorithm solves Act-CTL on the transformed k-trees,
4. «Технологии разработки и анализа программ»
«Информационный поиск и анализ данных»
«Высокопроизводительные вычисления в науке и индустрии»
«Алгоритмы и структуры данных»
«Дни компьютерных наук»