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Article
Publication date: 1 September 2005

Abstract

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Sensor Review, vol. 25 no. 3
Type: Research Article
ISSN: 0260-2288

Content available
Article
Publication date: 1 August 2005

Abstract

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Industrial Robot: An International Journal, vol. 32 no. 4
Type: Research Article
ISSN: 0143-991X

Content available
Article
Publication date: 3 August 2020

Mostafa Abd-El-Barr, Kalim Qureshi and Bambang Sarif

Ant Colony Optimization and Particle Swarm Optimization represent two widely used Swarm Intelligence (SI) optimization techniques. Information processing using…

Abstract

Ant Colony Optimization and Particle Swarm Optimization represent two widely used Swarm Intelligence (SI) optimization techniques. Information processing using Multiple-Valued Logic (MVL) is carried out using more than two discrete logic levels. In this paper, we compare two the SI-based algorithms in synthesizing MVL functions. A benchmark consisting of 50,000 randomly generated 2-variable 4-valued functions is used for assessing the performance of the algorithms using the benchmark. Simulation results show that the PSO outperforms the ACO technique in terms of the average number of product terms (PTs) needed. We also compare the results obtained using both ACO-MVL and PSO-MVL with those obtained using Espresso-MV logic minimizer. It is shown that on average, both of the SI-based techniques produced better results compared to those produced by Espresso-MV. We show that the SI-based techniques outperform the conventional direct-cover (DC) techniques in terms of the average number of product terms required.

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Applied Computing and Informatics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2634-1964

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Expert briefing
Publication date: 26 June 2018

Impact of automation on productivity and jobs.

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DOI: 10.1108/OXAN-DB235691

ISSN: 2633-304X

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Geographic
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Article
Publication date: 1 January 2005

Tom Ziemke

To point out the relevance of Heinz von Foerster's work to modern embodied cognitive science and artifical intelligence research.

Abstract

Purpose

To point out the relevance of Heinz von Foerster's work to modern embodied cognitive science and artifical intelligence research.

Design/methodology/approach

The paper discusses (a) von Foerster's contributions to understanding the limitations of the computer metaphor which has long dominated cognitive science, and (b) his theories concerning how reality is constructed in organizationally closed organisms, and what the underlying neural mechanisms are. The latter is exemplified with a simple neuro‐robotic model that illustrates the constructive and anticipatory nature of memory.

Findings

von Foerster's work on the integration of a radical constructivest philosophy of knowledge construction with models of the underlying neurophysiological and sensorimotor mechanisms is still highly relevant to the understanding of embodied cognition and robotic models thereof.

Originality/value

This paper identifies conceptual contributions that von Foerster's constructivist cybernetics can make to cognitive science's still limited understanding of the embodiment of cognition and “representation”.

Details

Kybernetes, vol. 34 no. 1/2
Type: Research Article
ISSN: 0368-492X

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Book part
Publication date: 9 August 2021

Anthony R. Wheeler and M. Ronald Buckley

Abstract

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HR without People?
Type: Book
ISBN: 978-1-80117-037-6

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Article
Publication date: 1 April 1981

LAWRENCE J. MAZLACK

It is often argued that anything observable may be simulated on a computer. Using this as a basis, workers in artificial intelligence (AI) often go forward to maintain…

Abstract

It is often argued that anything observable may be simulated on a computer. Using this as a basis, workers in artificial intelligence (AI) often go forward to maintain that machines can be made intelligent by machine simulation of human intelligence processes. There are two difficulties with this concept. The first difficulty lies in the knowledge of human intelligence processes that we have presently obtained and may possibly obtain in the near future. A more basic question is of the sufficiency of the concept itself. Simulation in itself is not sufficient to produce intelligent action where perhaps modelling might be. There are fundamental difficulties in the problem of establishing an adequate mapping function. It is held that there is insufficient correspondence between human and machine intelligence processes to allow human intelligence modelling on existing digital computers.

Details

Kybernetes, vol. 10 no. 4
Type: Research Article
ISSN: 0368-492X

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Book part
Publication date: 20 November 2020

Myriam Bounatirou and Andriew Lim

As the most disruptive technologies, Artificial Intelligence (AI) has been considered as a reliable tool in processing data to enhance business performance. Along with the…

Abstract

As the most disruptive technologies, Artificial Intelligence (AI) has been considered as a reliable tool in processing data to enhance business performance. Along with the increasing amount of data generated through online activities by customers, various hospitality companies have been investing in AI-powered solutions to be able to have better understanding about their customers and provide the relevant service to them accordingly. Despite knowing the impact on the customer service orientation, little is known about the impact of AI on the business process of a hospitality company. This paper explores the impact of the adoption of the AI on the business process of a hospitality company to have a better understanding of the extent of particular part of the business process that would benefit from the adoption of AI. It is apparent that Revenue Management and Marketing are the parts of business process within the hospitality industry that would have more positive impact on the adoption of AI. While AI-based marketing would be able to identify and target effectively high-value consumers, revenue management would be able to determine the right pricing strategy in real time due to the vast amount of available data and subsequently would have positive impact on the financial performance of the hospitality company.

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Sustainable Hospitality Management
Type: Book
ISBN: 978-1-83909-266-4

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Article
Publication date: 6 March 2017

Fentahun Moges Kasie, Glen Bright and Anthony Walker

The purpose of this paper is to propose a decision support system (DSS) that stabilizes the flow of fixtures in manufacturing systems. The proposed DSS assists…

Abstract

Purpose

The purpose of this paper is to propose a decision support system (DSS) that stabilizes the flow of fixtures in manufacturing systems. The proposed DSS assists decision-makers to reuse or adapt the available fixtures or to manufacture new fixtures depending upon the similarity between the past and new cases. It considers the cost effectiveness of the proposed decision when an adaptation decision is passed.

Design/methodology/approach

The research problem is addressed by integrating case-based reasoning, rule-based reasoning and fuzzy set theory. Cases are represented using an object-oriented (OO) approach to characterize them by their feature vectors. The fuzzy analytic hierarchy process (FAHP) and the inverse of weighted Euclidean distance measure are applied for case retrieval. A machining operation is illustrated as a computational example to demonstrate the applicability of the proposed DSS.

Findings

The problems of fixture assignment and control have not been well-addressed in the past, although fixture management is one of the complex problems in manufacturing. The proposed DSS is a promising approach to address such kinds of problems using the three components of an artificial intelligence and FAHP.

Research limitations/implications

Although the DSS is tested in a laboratory environment using a numerical example, it has not been validated in real industrial systems.

Practical implications

The DSS is proposed in terms of simple rules and equations. This implies that it is not complex for software development and implementation. The illustrated numerical example indicates that the proposed DSS can be implemented in the real-world.

Originality/value

Demand-driven fixture retrieval and manufacture to assign the right fixtures to planned part-orders using an intelligent DSS is the main contribution. It provides special consideration for the adaptation of the available fixtures in a system.

Details

Journal of Manufacturing Technology Management, vol. 28 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

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Book part
Publication date: 14 October 2019

Abstract

Details

Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality
Type: Book
ISBN: 978-1-78756-688-0

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