Nicholas V. Findler

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Coordination and cooperation are two major concerns in Distributed Artificial Intelligence (DAI) systems. How can a group of geographically distributed agents properly allocate a set of tasks among themselves while satisfying different types of constraints? Also, in an environment of limited resources, how can agents resolve resource conflicts and(More)
This note deals with the problem of discovering rules that govern social interactions and relations in pre-literal societies. Two older computer programs are first described which can receive data, possibly incomplete and redundant, representing kinship relations among named individuals. The programs then establish a knowledge base in the form of a directed(More)
The paper describes our long-term activity aimed at the control of traffic signals by a network of distributed processors situated at street intersections. Every processor runs an identical expert system and communicates directly with the four adjacent processors. (However, each expert system may need a somewhat different knowledge base to correspond to the(More)
A Distributed Planning System is a network whose nodes represent distinct processors, each cooperating with a selected set of others to achieve a common set of goals. We address two important issues in this paper: (i) How individual processors should be interconnected so that their capacities are fully utilized and their goals can be accomplished(More)
Upon opening this book and leafing through the pages, one gets the impression of an important compendium. The fourteen articles provide good coverage of semantic networks and related systems for representing knowledge. Their average length of 33 pages is long enough to give each author reasonable scope, yet short enough to permit a variety of viewpoints to(More)
Coordination consists of a set of mechanisms necessary for the effective operation of Intelligent Agent Societies (IASs). In building such societies, it is important to design and implement coordination in accordance with the known requirements and anticipated working conditions of the IAS in question. Currently, there is little theoretical support that may(More)
Intelligent question-answering programs do more than retrieve “raw” data; they make deductive inferences in order to return all valid responses. They report logical inconsistencies, possibly at the data input phase. Similarly, more information is requested from the user if a question asked proves to be ambiguous. A question-answering system of the above(More)