Semantic considerations in the actor paradigm of concurrent computation

Synthesis of Efficient Structures for Concurrent Computation.

10.21236/ada135892 ◽

1983 ◽

Author(s):

R. M. King ◽

E. W. Mayr ◽

C. Green

Keyword(s):

Concurrent Computation

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A Partitioned Solution Algorithm for Concurrent Computation of Stress–Strain and Fluid Flow in Continuous Casting Process

Metallurgical and Materials Transactions B ◽

10.1007/s11663-021-02070-4 ◽

2021 ◽

Vol 52 (2) ◽

pp. 978-995 ◽

Cited By ~ 1

Author(s):

Shaojie Zhang ◽

Gildas Guillemot ◽

Charles-André Gandin ◽

Michel Bellet

Keyword(s):

Fluid Flow ◽

Continuous Casting ◽

Casting Process ◽

Solution Algorithm ◽

Continuous Casting Process ◽

Stress Strain ◽

Concurrent Computation

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Uniform confluence in concurrent computation

Journal of Functional Programming ◽

10.1017/s0956796800003762 ◽

2000 ◽

Vol 10 (5) ◽

pp. 453-499 ◽

Cited By ~ 5

Author(s):

JOACHIM NIEHREN

Keyword(s):

Concurrent Computation

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Time and information in sequential and concurrent computation

Theory and Practice of Parallel Programming - Lecture Notes in Computer Science ◽

10.1007/bfb0026562 ◽

1995 ◽

pp. 1-24 ◽

Cited By ~ 2

Author(s):

Vaughan Pratt

Keyword(s):

Concurrent Computation

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Software testing and metrics for concurrent computation through task decomposition

1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335) ◽

10.1109/icips.1997.669379 ◽

2002 ◽

Author(s):

Ying-Hong Wang ◽

Chi-Ming Chung ◽

T.K. Shih ◽

Huan-Chao Keh ◽

Wei-Chuan Lin

Keyword(s):

Software Testing ◽

Task Decomposition ◽

Concurrent Computation

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Software testing and metrics for concurrent computation

Proceedings 1996 Asia-Pacific Software Engineering Conference ◽

10.1109/apsec.1996.566768 ◽

2002 ◽

Cited By ~ 2

Author(s):

T.K. Shih ◽

Chi-Ming Chung ◽

Ying-Hong Wang ◽

Ying-Feng Kuo ◽

Wei-Chuan Lin

Keyword(s):

Software Testing ◽

Concurrent Computation

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Human-Based Models for Ambient Intelligence Environments

Artificial Intelligence and Integrated Intelligent Information Systems ◽

10.4018/978-1-59904-249-7.ch001 ◽

2011 ◽

pp. 1-17 ◽

Cited By ~ 1

Author(s):

Giovanni Acampora ◽

Vincenzo Loia ◽

Michele Nappi ◽

Stefano Ricciardi

Keyword(s):

Spatial Distribution ◽

Fuzzy Control ◽

Ambient Intelligence ◽

Contextual Information ◽

Agent Based ◽

Key Technologies ◽

Concurrent Computation ◽

Critical Issues ◽

User Friendly ◽

Biometric Features

Ambient Intelligence gathers best results from three key technologies, Ubiquitous Computing, Ubiquitous Communication, and Intelligent User Friendly Interfaces. The functional and spatial distribution of tasks is a natural thrust to employ multiagent paradigm to design and implement AmI environments. Two critical issues, common in most of applications, are (1) how to detect in a general and efficient way context from sensors and (2) how to process contextual information in order to improve the functionality of services. Here we describe an agent-based ambient intelligence architecture able to deliver services on the basis of physical and emotional user status captured from a set of biometric features. Abstract representation and management is achieved thanks to two markup languages, H2ML and FML, able to model behavioral as well as fuzzy control activities and to exploit distribution and concurrent computation in order to gain real-time performances.

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