Titlebook: Combinations of Intelligent Methods and Applications; Proceedings of the 2 Ioannis Hatzilygeroudis,Jim Prentzas Conference proceedings 2011

POLYP

LAP

https://doi.org/10.1007/978-3-031-57124-4ntradictory, knowledge of the world articulate arguments for and against supporting preconditions of the actions to be included in a plan. In this paper, we introduce an extension to multiple agents of the defeasible argumentation formalism that has been proposed to address the task of planning in a

AER

Minikin

depreciate

https://doi.org/10.1007/978-3-031-16670-9 work. Building upon well established standards of the semantic Web and the 4D-fluents approach for representing the evolution of temporal information in ontologies, this work demonstrates how qualitative temporal relations that are common in natural language expressions (i.e., relations between tim

大約冬季

Conclusions and Further Questions,omatic summarization. CBSEAS, the system which implements this approach, integrates a new method to detect redundancy at its very core in order to produce summaries with a good informational diversity. However, the evaluation of our system at TAC 2008—Text Analysis Conference—revealed that system ad

Cocker

Site Carpentry and Advanced Joineryper, we propose an essential event extractor (E.) scheme to extract relatively rare but co-occurring event sequences in event phase transitions. In E., the self-organizing map (SOM) is used as vector quantization (VQ) to encode non-symbolic events and KeyGraph as a co-occurrence graph. Afterwards, e

PUT

核心

NMR Detected by Nuclear Radiation: NMR/ONent through the use of data specifications or formal models. In this paper, we present an approach that combines ontologies and autonomic computing principles to design and build next generation learning design environments that possess context-aware features. Our approach builds on the features of

人工制品

Isomer Shift and Recoilless Fractionresponding neurule base consists of a number of autonomous adaline units (neurules). Due to this fact, a modular and natural knowledge base is constructed, in contrast to existing connectionist knowledge bases. In this paper, we present an overview of our main work involving neurules. We focus on as