In a dynamic environment, it is quite reasonable to implement functions as a set of rules into an agent to react to unexpected situations, because it is very difficult to have a correct model of the environment. This paper describes a reinforcement studying method to acquire the rules, each of which consists of state and action pair, for coordinating execution of the multiple cranes in a coil-y...

The proof of Theorem 6 in the paper by J. He and X. Yao [Artificial Intelligence 127 (1) (2001) 57–85] contains a mistake, although the theorem is correct [S. Droste et al., Theoret. Comput. Sci. 276 (2002) 51–81]. This note gives a revised proof and theorem. It turns out that the revised theorem is more general than the original one given an evolutionary algorithm with mutation probability pm ...

The goal of this chapter is to outline the attention machine computational framework designed to make a significant advance towards creating systems with human-level intelligence (HLI). This work is based on the hypotheses that: 1. most characteristics of human-level intelligence are exhibited by some existing algorithm, but that no single algorithm exhibits all of the characteristics and that ...

An artificial intelligence algorithm for a computer game competition organised by Google and University of Waterloo is presented. It competes with others by reasoning, evaluating of a situation and taking decisions in a war simulation.

scheduling has become an attractive area for artificial intelligence researchers. on other hand, in today's real-world manufacturing systems, the importance of an efficient maintenance schedule program cannot be ignored because it plays an important role in the success of manufacturing facilities. a maintenance program may be considered as the heath care of manufacturing machines and equip...

In the spirit of Searle’s definition of weak and strong artificial intelligence, this paper presents a discussion on weak computational creativity in swarm intelligence systems. It addresses the concepts of freedom and constraint and their impact on the creativity of the underlying systems. An analogy is drawn on mapping these two ‘prerequisites’ of creativity onto the two well-known phases of ...

The pervasive potential of artificial intelligence techniques in business scenarios has gained momentum recently through the combination of traditional software engineering disciplines and cutting-edge computer science research areas such as neural networks or genetic algorithms. Following this approach, MORGANA is a platform to perform competence oriented personnel staffing in software project...

The General Video Game AI framework and competition pose the problem of creating artificial intelligence that can play a wide, and in principle unlimited, range of games. Concretely, it tackles the problem of devising an algorithm that is able to play any game it is given, even if the game is not known a priori. This area of study can be seen as an approximation of General Artificial Intelligen...

We investigate the technique of genetic algorithms to solve the class of STRIPS planning problems in Artificial Intelligence. We define a genetic algorithm called AgPlan and we compare it with some recent planners.