1,721,139 research outputs found
WORDY: A semi-automatic methodology aimed at the creation of neologisms based on a semantic network and blending devices
In this paper, we propose a semi-automatic tool, named WORDY, that implements a methodology aimed at speeding-up the process of creation of neologisms. The approach exploits a semantic network, which is explored through the spreading activation methodology and exploits three blending linguistic techniques together with a proper ranking function in order to support companies in the creation of neologisms capable of evoking semantic meaningful associations to customers
Revision of the genus Pseudodiphascon (Tardigrada, Macrobiotidae), with the erection of three new genera
A flexible but non-annulated buccal tube was used to erect the subgenus Pseudodiphascon , later raised to genus level (type species Macrobiotus inflexus ). However, the presence of a flexible (but non-annulated) buccal tube in the holotype and paratype is due to the moulting simplex stage of both animals. Therefore Macrobiotus inflexus must be considered species dubia . The other species to date attributed to Pseudodiphascon differ from the type species of the genus in the presence of a pharyngeal tube that appears annulated. Because of this and other characters, they do not conform to the definition of Pseudodiphascon and cannot be attributed to this genus, which must be considered genus dubium . The characters of the claws and of the buccal-pharyngeal apparatuses led us to describe three new genera: Biserovus gen. n.: claws without a differentiated basal portion, annulated pharyngeal tube, peribuccal lamellae present; Minilentus gen. n.: claws of ' hufelandi type', annulated pharyngeal tube, peribuccal lamellae absent; Insuetifurca gen. n.: claws of modified ' hufelandi type', annulated pharyngeal tube, peribuccal lamellae present, stylet furcae of a peculiar shape. Pseudodiphascon diphasconides lacks annulation in the buccal tube and is transferred to the genus Minibiotus
A social humanoid robot as a playfellow for vocabulary enhancement
We introduce a system that exploits a Pepper humanoid robot acting as a playfellow in a word-play game. The robot can play a portmanteau game by directly interacting with children, and it exploits a conversation engine, a portmanteau creation engine, and a definition engine. The humanoid can play the role of either an answerer or a generator of new words
AN ARCHITECTURE FOR HUMANOID ROBOT EXPRESSING EMOTIONS AND PERSONALITY
In this paper we illustrate the cognitive architecture of a humanoid robot
based on the proposed paradigm of Latent Semantic Analysis (LSA). The LSA
approach allows the creation and the use of a data driven high-dimensional
conceptual space. This paradigm is a step towards the simulation of an emotional
behavior of a robot interacting with humans. The Architecture is organized in three
main areas: Sub-conceptual, Emotional and Behavioral. The first area processes
perceptual data coming from the sensors. The second area is the “conceptual space
of emotional states” which constitutes the sub-symbolic representation of emotions.
The last area activates a latent semantic behavior related to the humanoid
emotional state. The robot generates its overall behavior also taking into account
its “personality”. To validate the system, we implemented the system on a
Aldebaran NAO humanoid robot
On Representing Concepts in High-dimensional Linear Spaces
Producing a mathematical model of concepts is a very important issue
in artificial intelligence, because if such a model were found this, besides being
a very interesting result in its own right, would also contribute to the emergence
of what we could call the ‘mathematics of thought.’ One of the most interesting
attempts made in this direction is P. Gardenfors’ theory of conceptual spaces, a ̈
theory which is mostly presented by its author in an informal way. The main aim
of the present article is contributing to Gardenfors’ theory of conceptual spaces ̈
by discussing some of the advantages which derive from the possibility of representing
concepts in high-dimensional linear spaces
An overview of video surveillance approaches
In this paper, we present an overview of video surveillance approaches that are more related to the Internet-of-things (IoT) paradigm. We describe the first model-based architectures, dealing with anomaly detection; then, we illustrate approaches which are focused on the efficient implementation of database systems; subsequently, we describe architectures that exploit robotic systems, and eventually we mention the cognitive-based approaches
User Emotion Detection via Taxonomy Management: An Innovative System
Catching the attention of a new acquaintance and empathize with her can improve the social skills of a robot. For this reason, we illus-trate here the first step towards a system which can be used by a social robot in order to "break the ice"between a robot and a new acquain-tance. After a training phase, the robot acquires a sub-symbolic coding of the main concepts being expressed in tweets about the IAB Tier-1 categories. Then this knowledge is used to catch the new acquaintance interests, which let arouse in her a joyful sentiment. The analysis process is done alongside a general small talk, and once the process is finished, the robot can propose to talk about something that catches the attention of the user, hopefully letting arise in him a mix of feelings which involve surprise and joy, triggering, therefore, an engagement between the user and the social robot
A KST-Based System for Student Tutoring
A novel assessment procedure based on knowledge space theory (KST) is presented along with a complete implementation of an intelligent tutoring system (ITS) that has been used to test our theor- etical findings. The key idea is that correct assessment of the student knowledge is strictly related to the structure of the domain ontology. Suitable relationships between the concepts must be present to allow the creation of a reverse path from the ‘‘knowledge state’’ representing the student goal to the one that contains her actual knowledge about this topic. Knowledge space theory is a very good framework to guide the process of building the ontology used by the artificial tutor. The system we present uses a conversational agent to assess the student knowledge through a natural language question=answer procedure. The system exploits a Cyc-based common sense ontology about the spe- cific domain of interest to select the concepts needed to explain unknown topics emerging from the dialogue. Besides, the latent semantic analysis (LSA) technique is used to determine the correctness of the student sentences in order to establish which concepts she knows. As a result, the system sup- plies learning material arranged as a path between the unknown topics resulting from the student assessment. The learning path is presented to the student by a user-friendly graphical interface, which allows to access documents browsing a visual map. The procedure is explained in detail along with the rest of the system, and the assessment validation results are presented
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