Although AI planning techniques can potentially be useful in several manufacturing domains, this potential remains largely unrealized. Many of the issues important to manufacturing engineers have not seemed interesting to AI researchers--but in order to adapt AI planning techniques to manufacturing, it is important to address these issues in a realistic and robust manner. Furthermore, by invest...

background: lesson planning has a distinct role in enhancing education quality, as well as maintaining the friendly and dynamic atmosphere of the academic environment and increasing student's initiatives for achieving better educational attainments. lesson planning is a process for defining the goals, understanding the needs, and specifying available tools and possible limitations. lesson plann...

in order to understand what educational planning means, it is necessary to understand what is meant by planning and what a plan is. it is from this level that we will go into the explanation of educational planning in urban planning and architecture. the finding of research shows fundamental discourse that has been surveyed in this paper. character of educational planning in urban studies concl...

As robotic technology and its various uses grow steadily more complex and ubiquitous, humans are coming into increasing contact with robotic agents. A large portion of such contact is cooperative interaction, where both humans and robots are required to work on the same application towards achieving common goals. These application scenarios are characterized by a need to leverage the strengths ...

This paper reviews the applications and challenges of robotic systems in the underwater domain. It focuses on the challenges for achieving embedded situation awareness, adaptive trajectory planning and adaptive mission planning. These are required elements for providing true autonomy for delegation of tasks to unmanned underwater vehicles. The paper analyses current approaches to tackling these...

In this paper, we discuss a computational approach to the cognitive task of social planning. First, we specify a class of planning problems that involve an agent who attempts to achieve its goals by altering other agents’ mental states. Next, we describe SFPS, a flexible problem solver that generates social plans of this sort, including ones that include deception and reasoning about other agen...

There are two major approaches to activity coordination in multiagent systems. First, by endowing the agents with the capability to jointly plan, that is, to jointly generate hypothetical activity sequences. Second, by endowing the agents with the capability to jointly learn, that is, to jointly choose the actions to be executed on the basis of what they know from experience about the interdepe...

Rapid urbanization has brought environmentally, socially, and economically great challenges to cities and societies. To build a sustainable city, these challenges need to be faced efficiently and successfully. This paper focuses on the environmental issues and investigates the ecological approaches for planning sustainable cities through a comprehensive review of the relevant literature. The re...

A city is not only a space, but also involves culture, social aspects and environment. As a result, urban planning is a multidisciplinary process. The general objective of urban planning is “to provide for a spatial structure of activities which in some way is better than the pattern existing without planning” (Hall 1992, p4). Achieving the objective is not only the matter of planners and gover...