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304
Why g matters: The complexity of everyday life
- Intelligence
, 1997
"... Personnel selection research provides much evidence that intelligence (g) is an important predictor of performance in training and on the job, especially in higher level work. This article provides evidence that g has pervasive utility in work settings because it is essentially the ability to deal w ..."
Abstract
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Cited by 174 (14 self)
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with cognitive complexity, in particular, with complex information processing. The more complex a work task, the greater the advantages that higher g confers in performing it well. Everyday tasks, like job duties, also differ in their level of complexity. The importance of intelligence therefore differs
Controlling the Learning Process of Real-Time Heuristic Search
, 2003
"... Real-time search provides an attractive framework for intelligent autonomous agents, as it allows us to model an agent's ability to improve its performance through experience. However, the behavior of real-time search agents is far from rational during the learning (convergence) process, in tha ..."
Abstract
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Cited by 38 (0 self)
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Real-time search provides an attractive framework for intelligent autonomous agents, as it allows us to model an agent's ability to improve its performance through experience. However, the behavior of real-time search agents is far from rational during the learning (convergence) process
IMPROVING WEB QUERY PROCESSING THROUGH AN INTELLIGENT ALGORITHM FOR HETEROGENEOUS DATABASES
"... Performance of web query processing becomes slow caused by increasing number of data. In this paper, intelligent algorithm was created to fix this problem. Four main components involved in this intelligent algorithm are assigning initial query, exploit query, assign to any possible query and query m ..."
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Performance of web query processing becomes slow caused by increasing number of data. In this paper, intelligent algorithm was created to fix this problem. Four main components involved in this intelligent algorithm are assigning initial query, exploit query, assign to any possible query and query
Heuristic Search Planning to Reduce Exploration Uncertainty
"... Abstract — The path followed by a mobile robot while mapping an environment (i.e. an exploration trajectory) plays a large role in determining the efficiency of the mapping process and the accuracy of any resulting metric map of the environment. This paper examines some important aspects of path pla ..."
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Cited by 6 (5 self)
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planning in this context: the trade-offs between the speed of the exploration process versus the accuracy of resulting maps; and alternating between exploration of new territory and planning through known maps. The resulting motion planning strategy and associated heuristic are targeted to a robot building
CONCEPT MAPPING, VEE HEURISTICS AND THE LEARNING PROCESS: TOWARDS A META- LEARNING EXPERIENCE
"... Abstract. For too many years, teachers have prepared lesson plans according to their own preferred way of learning whilst ignoring the fact that all children process incoming information differently and in this way, many children are left behind. If one wants to be successful one must understand how ..."
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how one learns and then make sense of it so as to make one’s mental mechanisms work most efficiently for him/her. This paper will describe that when Vee Heuristic and Concept Maps are placed within a context of an understanding of different learning patterns, the learning process develops from a
Getting at the truth or getting along: Accuracy-versus impression-motivated heuristic and systematic processing
"... The choice between novelty and familiarity when introducing a redesigned product is a crucial decision. A look into the processes of object perception reveals that novelty and similarity/familiarity are not two poles of the same dimension. Instead it is possible that consumers can perceive new prod ..."
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on the heuristic-systematic model (HSM) of human information processing (Chaiken, 1987) this research attempts to shed light on the underlying logic of judgment of multiple gains and losses. The HSM differentiates systematic from heuristic information processing. Whereas heuristic processing is characterized by a
Coping with human errors through system design: Implications for ecological interface design
- International Journal of Man-Machine Studies
, 1989
"... Research during recent years has revealed that human errors are not stochastic events which can be removed through improved training programs or optimal interface design. Rather, errors tend to reflect either systematic interference between various models, rules, and schemata, or the effects of the ..."
Abstract
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Cited by 59 (2 self)
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Research during recent years has revealed that human errors are not stochastic events which can be removed through improved training programs or optimal interface design. Rather, errors tend to reflect either systematic interference between various models, rules, and schemata, or the effects
Integrating Machine Learning in Parallel Heuristic Search
"... Many artificial intelligence applications rely on search-ing through large, complex spaces. Iterative Deepening-A * (IDA’) is a procedure capable of find-ing a least cost path to a goal; however, the execution time on a single processor is often too long for most applications. Parallel processing ca ..."
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Many artificial intelligence applications rely on search-ing through large, complex spaces. Iterative Deepening-A * (IDA’) is a procedure capable of find-ing a least cost path to a goal; however, the execution time on a single processor is often too long for most applications. Parallel processing
The Representation of the Rippling Heuristic in Proof Planning Using Coloured Annotations
- In Proceedings of the 2nd International Workshop on User Interfaces for Theorem Provers --- University of York
, 1996
"... The Rippling heuristic developed by the Mathematical Reasoning Group in the Dept of Artificial Intelligence, Edinburgh is a proven method of reducing the search space for a proof by induction through the use of annotated rewrite rules in the induction step case. Rippling is one of the 'methods& ..."
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Cited by 2 (1 self)
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The Rippling heuristic developed by the Mathematical Reasoning Group in the Dept of Artificial Intelligence, Edinburgh is a proven method of reducing the search space for a proof by induction through the use of annotated rewrite rules in the induction step case. Rippling is one of the &apos
Finding Answers through a Heuristic Reasoning Mechanism For an Ontology-based Question Answering System
"... Today, automated reasoning is a real need for intelligent systems. Information Retrieval systems in general and specifically a question answering system require a reasoning mechanism as well. In this paper, a heuristic reasoning mechanism, implemented in the online phase of TeLQAS is proposed. TeLQA ..."
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Today, automated reasoning is a real need for intelligent systems. Information Retrieval systems in general and specifically a question answering system require a reasoning mechanism as well. In this paper, a heuristic reasoning mechanism, implemented in the online phase of TeLQAS is proposed. Te
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304
