In today’s highIy competitive and constantly growing market for software products, planning and scheduling of large software projects has become a bottleneck to increasing production productivity [1331. This work is to investigate the mechanisms required to support software project planning and scheduling (SPPS). Our approach is to 1. define SPPS as a reactive pmcess that involvw human negotiat...

In the last years,researchers have made significant progress on robot planning, leading to impressive realtime planners for such challenging tasks as driving, flying, walking, and manipulating objects. In this paper we present a novel architecture to support applications in artificial intelligence in environments fully observable, i.e. in classical planning.On the other hand, we developed ASP-b...

During recent years the development of new techniques for constraint satisfaction, planning, and scheduling has received increased attention, and substantial effort has been invested in trying to exploit such techniques to find solutions to real life problems. In this paper, we present a survey on constraint satisfaction, planning and scheduling from the Artificial Intelligence point of view. I...

ions of these networks, eg, cube on cube (The Society of Mind by Marvin Minsky, MIT, 1985) and “learning” mechanisms (The Organization of Behavior by Donald O Hebb, 1949) may not constitute intelligence. These processes populate fields with values from the user environment which can be selectively used (per contra hard coded defined sets). For example, NEST Learning Thermostat uses input values...

In this paper we propose the use of Fuzzy Cognitive Map (FCM), a well-established Artificial Intelligence technique that incorporates ideas from Artificial Neural Networks and Fuzzy Logic, for E-Commerce strategic planning. FCMs create models as collections of concepts and the various causal relations that exist between these concepts. The strategic planning capabilities of the FCM structure ar...

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...

An artificial neural network (ANN) reflects a system that is based on operations of biological neural networks and hence can be defined as an emulation of biological neural systems. ANN's are at the forefront of computational systems designed to produce, or at least mimic, intelligent behavior. Unlike classical Artificial Intelligence (AI) systems that are designed to directly emulate rational,...

O-Plan is an Artificial Intelligence Planning System written in Common Lisp that has been developed at the University of Edinburgh over the period 1983 to 1999. It is used in a wide variety of applications. It has been deployed as a planning service accessible over the World Wide Web since 1994 and has provided an HTTP interface to users and programs since 1997. It continues to be accessible as...