Forgetting and Generalisation in Memory Modelling for Robot Companions: a Data Mining Approach
نویسندگان
چکیده
The idea of a robot as a long-term companion has not been widely accepted and sometimes not even considered or imagined. Hence, several issues should be addressed in order to facilitate this long-term human-robot interaction. This work focuses on the memory modelling for artificial companions and its forgetting processes by proposing a novel approach based on hierarchical classification data mining techniques to implement memory generalisation mechanisms.
منابع مشابه
Forgetting through generalisation: a companion with selective memory
This research investigates event generalisation in computational episodic memory for artificial companions. Two studies indicated a preference of a biologically-inspired selective memory over an absolute memory companion. Consequently, we present a preliminary implementation of a forgetting mechanism that enables the companion to create “generalised event representations” from its experiences a...
متن کاملModelling Customer Attraction Prediction in Customer Relation Management using Decision Tree: A Data Mining Approach
In Today’s quality- based competitive world, known as knowledge age, customer attraction is of ultimate importance. In respect to the slogan “customer is always right”, customer relation management is the core of an organizational strategy playing an important role in four aspects of customer identification, customer attraction, customer retaining, and customer satisfaction. Commercial organiza...
متن کاملCalculation of One-dimensional Forward Modelling of Helicopter-borne Electromagnetic Data and a Sensitivity Matrix Using Fast Hankel Transforms
The helicopter-borne electromagnetic (HEM) frequency-domain exploration method is an airborne electromagnetic (AEM) technique that is widely used for vast and rough areas for resistivity imaging. The vast amount of digitized data flowing from the HEM method requires an efficient and accurate inversion algorithm. Generally, the inverse modelling of HEM data in the first step requires a precise a...
متن کاملSpatial modelling of zonality elements based on compositional nature of geochemical data using geostatistical approach: a case study of Baghqloom area, Iran
Due to the existence of a constant sum of constraints, the geochemical data is presented as the compositional data that has a closed number system. A closed number system is a dataset that includes several variables. The summation value of variables is constant, being equal to one. By calculating the correlation coefficient of a closed number system and comparing it with an open number system, ...
متن کاملDesigning an adaptive fuzzy control for robot manipulators using PSO
This paper presents designing an optimal adaptive controller for tracking control of robot manipulators based on particle swarm optimization (PSO) algorithm. PSO algorithm has been employed to optimize parameters of the controller and hence to minimize the integral square of errors (ISE) as a performance criteria. In this paper, an improved PSO using logic is proposed to increase the convergenc...
متن کامل