Articles written in Sadhana
Volume 19 Issue 1 February 1994 pp 171-188 Artificial Intelligence And Expert Systems
The task of planning in a dynamic and an uncertain domain is considerably more challenging than in domains traditionally adopted by
Volume 21 Issue 3 June 1996 pp 395-413 Intelligent systems
The objective of this study is to explore the possibility of capturing the reasoning process used in bidding a hand in a bridge game by an artificial neural network. We show that a multilayer feedforward neural network can be trained to learn to make an opening bid with a new hand. The game of bridge, like many other games used in artificial intelligence, can easily be represented in a machine. But, unlike most games used in artificial intelligence, bridge uses subtle reasoning over and above the agreed conventional system, to make a bid from the pattern of a given hand. Although it is difficult for a player to spell out the precise reasoning process he uses, we find that a neural network can indeed capture it. We demonstrate the results for the case of one-level opening bids, and discuss the need for a hierarchical architecture to deal with bids at all levels.
Volume 40 Issue 5 August 2015 pp 1385-1433
This paper presents a survey of Simultaneous Localization And Mapping (SLAM) algorithms for unmanned ground robots. SLAM is the process of creating a map of the environment, sometimes unknown a