This paper explores the use of weighted space syntax models to contribute to the process of integrated urban planning for Jeddah as part of a major planning project in the Saudi Arabia. The Municipality of Jeddah commissioned the production of an integrated suite of planning documents. These plans coordinate Strategic, Sub-Regional, Structural and Local plans across a citywide region and aim to...

Real problems require the combination of time and resources management. In the last decade, different approaches that integrate planning and scheduling have appeared. In this paper we present PIPSS, a system that combines traditional state space search planning with constraint satisfaction algorithms for scheduling, so that it can also reason about temporal and multicapacity resources problems....

Commonsense reasoning and probabilistic planning are two of the most important research areas in artificial intelligence. This paper focuses on Integrated commonsense Reasoning and probabilistic Planning (IRP) problems. On one hand, commonsense reasoning algorithms aim at drawing conclusions using structured knowledge that is typically provided in a declarative way. On the other hand, probabili...

This paper describes three application domains for integrating planning, scheduling and execution at NASA Johnson Space Center. The three domains are: advanced life support systems; traded control of robotic manipulators and free ying space robots. The challenges of each domain will be given and initial progress will be described. For each domain we have applied the same layered control archite...

With the Model Checking Integrated Planning System MIPS, model checking has eventually approached classical AI planning. It was the first planning system based on formal verification techniques that turned out to be competitive with the various Graphplanor SAT-based approaches on a broad spectrum of domains. MIPS uses binary decision diagrams (BDDs, introduced by Bryant (1986)) to compactly sto...

Correct-by-construction manipulation planning in a dynamic environment, where other agents can manipulate objects in the workspace, is a challenging problem. The tight coupling of actions and motions between agents and complexity of mission specifications makes the problem computationally intractable. This paper presents a reactive integrated mission and motion planning for mobile-robot manipul...

This paper describes a system that uses AI planning and representation techniques as the core of a decision support system.* The planning technology is supplemented with other AI and non-AI technologies. The overall system and initial application domain, military operations planning, are described first. We then describe the integration of SIPE-2, a generative planning system, with three indepe...

In this paper, we present ICEPT, a new mobile radio network planning tool that is based on an integrated design approach. The new approach starts with the analysis of the spatial distribution of the expected teletraac within the service area of the cellular system. Employing this principle, the ICEPT tool considers concurrently the four major design areas of cellular networks: Radio Transmissio...

This report describes how capacity planning models can be used to plan investments in biorefineries. For this, we have considered several processes belonging to a chemical supply chain that can be fed by a raw material, such as switchgrass, and used to produce valuable commodities. To build our model we have considered 58 possible processes to choose from, part of which are 12 chemicals chosen ...