Artificial intelligence and the humanities

Rich, Elaine

doi:10.1007/bf02259633

Cited by 85 publications

(77 citation statements)

References 2 publications

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“…Examples of automatic classifiers include text matching [7], Bayesian networks [9], and clustering algorithms [15]. These automatic techniques have been extensively studied and they are beyond the scope of this paper.…”

Section: Classifying Queries and Documentsmentioning

confidence: 99%

Semantic Overlay Networks for P2P Systems

García-Crespo¹,

García-Molina²

2005

Lecture Notes in Computer Science

243

260

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Abstract. In a peer-to-peer (P2P) system, nodes typically connect to a small set of random nodes (their neighbors), and queries are propagated along these connections. Such query flooding tends to be very expensive. We propose that node connections be influenced by content, so that for example, nodes having many "Jazz" files will connect to other similar nodes. Thus, semantically related nodes form a Semantic Overlay Network (SON). Queries are routed to the appropriate SONs, increasing the chances that matching files will be found quickly, and reducing the search load on nodes that have unrelated content. We have evaluated SONs by using an actual snapshot of music-sharing clients. Our results show that SONs can significantly improve query performance while at the same time allowing users to decide what content to put in their computers and to whom to connect.

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Section: Classifying Queries and Documentsmentioning

confidence: 99%

Semantic Overlay Networks for P2P Systems

García-Crespo¹,

García-Molina²

2005

Lecture Notes in Computer Science

243

260

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“…In the AI context, representation stands for translating something as abstract as knowledge into a formal system of symbols that can be stored on a computer. Thus, knowledge representation is a central subject in AI (Nilsson, 1998;Rich & Knigh, 1991). Knowledge-based systems are hence programs that manage these symbol systems to solve practical problems.…”

Section: Artificial Intelligence Techniquesmentioning

confidence: 99%

“…Therefore the application field of ML algorithms and their output possibilities are broader than with simple linear least squares tools. A detailed explanation of ML principles and methods can be found in textbooks such as Nilsson (1998), Rich and Knigh (1991), Quinlan (1993a) or Michalski, Bratko, and Kubat (1998).…”

Section: Artificial Intelligence Techniquesmentioning

confidence: 99%

The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry

Goyache

Bahamonde

Alonso

et al. 2001

Trends in Food Science & Technology

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In this paper we advocate the application of Artificial Intelligence techniques to quality assessment of food products. Machine Learning algorithms can help us to: (a) extract operative human knowledge from a set of examples; (b) conclude interpretable rules for classifying samples regardless of the non-linearity of the human behaviour or process; and (c) help us to ascertain the degree of influence of each objective attribute of the assessed food on the final decision of an expert. We illustrate these topics with an example of how it is possible to clone the behaviour of bovine carcass classifiers, leading to possible further industrial applications. #

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“…knowledge representation as abstract concept means formalisms like logic or higher order structures such as semantic nets, frames or scripts (for an overview see e.g. Rich 1983). In our context, especially first order logic is a very important representation formalism because nearly any qualitative theory can be translated into this formalism (Kowalski 1979 3. knowledge based systems or expert systems as a possible architecture with well-known features and advantages (e.g.…”

Section: Ai Based Modellingmentioning

confidence: 99%

Artificial Intelligence Modelling: Data Driven and Theory Driven Approaches

Manhart

1996

Social Science Microsimulation

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Artificial intelligence and the humanities

Cited by 85 publications

References 2 publications

Semantic Overlay Networks for P2P Systems

Semantic Overlay Networks for P2P Systems

The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry

Artificial Intelligence Modelling: Data Driven and Theory Driven Approaches

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