There are two paths of research on temporal datasets. One is temporal reasoning, which uses artificial intelligence and data mining for tasks such as diagnosis, monitoring, projection, forecasting and planning [SHAHAR 97]. Another path involves providing an interactive interface for dynamic visualization of the temporal dataset. This paper extends several approaches in this second path. 2.1 Abs...

This aim of this paper is to present the Multi-Agent Systems. Later is presented ALLEGRO: A Teaching/Learning Multi-Agent Environment. ALLEGRO is an intelligent environment that includes artificial intelligence mechanisms (Instructional Planning IP, Cased-Based Reasoning CBR, Multi-Agent Systems MAS, Intelligent Tutoring Systems ITS, and Computer Supported Collaborative Learning CSCL).

This article provides some basic assistance to entrepreneurs involved in artificial intelligence, offering a synthesis of standard business-planning and capital-raising practices. Three main areas are discussed: (1) developing a corporate strategy, (2) developing a business plan that works, and (3) approaching sources of capital. THE AI MAGAZINE August, 1986 111 AI Magazine Volume 7 Number 3 (1...

Frolog is a text-adventure game whose goal is to serve as a laboratory for testing pragmatic theories of accommodation. To this end, rather than implementing ad-hoc mechanisms for each task that is necessary in such a conversational agent, Frolog integrates recently developed tools from computational linguistics, theorem proving and artificial intelligence planning.

Machine tool owners require knowledge of their machine’s capabilities, and the emphasis increases with areas of high accuracy manufacturing. An aspect of a machine’s capability is its geometric accuracy. International Standards and best-practice guides are available to aid understanding of the required measurements and to advise on how to perform them. However, there is an absence of any intell...

The decision-making process in strategic planning is often too complex to be handled by conventional methods. Strategic planning problems (building new plans, new product planning, etc.) belong to the class of problems called ill-structured by H. Simon. They involve a decomposition of the main problem into a set of subproblems, a reasoning process at the subproblem level, and then a coordinated...

Path planning is a problem much studied in the context of artificial intelligence, with many applications in robotics, intelligent transport systems, and computer games. In this paper, we introduce the term constructive path planning to describe the use of path planning to create geometric models. The basic algorithm involves finding least-cost paths through a randomly weighted regular lattice;...

Multiagent Systems (MAS) are a computational paradigm in which several semi-autonomous agents interact with each other, either to solve a problem or achieve a number of individual or collective goals. Moreover, the production planning is a key activity in performance of the industry, so it is evident the need for applications that provide support in the development of these activities, to achie...