104,299 research outputs found
What should a robot learn from an infant? Mechanisms of action interpretation and observational learning in infancy
The paper provides a summary of our
recent research on preverbal infants (using
violation-of-expectation and observational
learning paradigms) demonstrating that one-year-olds interpret and draw systematic
inferences about other’s goal-directed actions,
and can rely on such inferences when imitating
other’s actions or emulating their goals. To
account for these findings it is proposed that one-year-olds apply a non-mentalistic action
interpretational system, the ’teleological stance’
that represents actions by relating relevant
aspects of reality (action, goal-state, and
situational constraints) through the principle of
rational action, which assumes that actions
function to realize goal-states by the most
efficient means available in the actor’s situation.
The relevance of these research findings and the
proposed theoretical model for how to realize the
goal of epigenetic robotics of building a ’socially
relevant’ humanoid robot is discussed
empathi: An ontology for Emergency Managing and Planning about Hazard Crisis
In the domain of emergency management during hazard crises, having sufficient
situational awareness information is critical. It requires capturing and
integrating information from sources such as satellite images, local sensors
and social media content generated by local people. A bold obstacle to
capturing, representing and integrating such heterogeneous and diverse
information is lack of a proper ontology which properly conceptualizes this
domain, aggregates and unifies datasets. Thus, in this paper, we introduce
empathi ontology which conceptualizes the core concepts concerning with the
domain of emergency managing and planning of hazard crises. Although empathi
has a coarse-grained view, it considers the necessary concepts and relations
being essential in this domain. This ontology is available at
https://w3id.org/empathi/
Sonification of Network Traffic Flow for Monitoring and Situational Awareness
Maintaining situational awareness of what is happening within a network is
challenging, not least because the behaviour happens within computers and
communications networks, but also because data traffic speeds and volumes are
beyond human ability to process. Visualisation is widely used to present
information about the dynamics of network traffic dynamics. Although it
provides operators with an overall view and specific information about
particular traffic or attacks on the network, it often fails to represent the
events in an understandable way. Visualisations require visual attention and so
are not well suited to continuous monitoring scenarios in which network
administrators must carry out other tasks. Situational awareness is critical
and essential for decision-making in the domain of computer network monitoring
where it is vital to be able to identify and recognize network environment
behaviours.Here we present SoNSTAR (Sonification of Networks for SiTuational
AwaReness), a real-time sonification system to be used in the monitoring of
computer networks to support the situational awareness of network
administrators. SoNSTAR provides an auditory representation of all the TCP/IP
protocol traffic within a network based on the different traffic flows between
between network hosts. SoNSTAR raises situational awareness levels for computer
network defence by allowing operators to achieve better understanding and
performance while imposing less workload compared to visual techniques. SoNSTAR
identifies the features of network traffic flows by inspecting the status flags
of TCP/IP packet headers and mapping traffic events to recorded sounds to
generate a soundscape representing the real-time status of the network traffic
environment. Listening to the soundscape allows the administrator to recognise
anomalous behaviour quickly and without having to continuously watch a computer
screen.Comment: 17 pages, 7 figures plus supplemental material in Github repositor
Ontology modelling methodology for temporal and interdependent applications
The increasing adoption of Semantic Web technology by several classes of applications in recent years, has made ontology engineering a crucial part of application development. Nowadays, the abundant accessibility of interdependent information from multiple resources and representing various fields such as health, transport, and banking etc., further evidence the growing need for utilising ontology for the development of Web applications. While there have been several advances in the adoption of the ontology for application development, less emphasis is being made on the modelling methodologies for representing modern-day application that are characterised by the temporal nature of the data they process, which is captured from multiple sources. Taking into account the benefits of a methodology in the system development, we propose a novel methodology for modelling ontologies representing Context-Aware Temporal and Interdependent Systems (CATIS). CATIS is an ontology development methodology for modelling temporal interdependent applications in order to achieve the desired results when modelling sophisticated applications with temporal and inter dependent attributes to suit today's application requirements
Non-situational functions of demonstrative noun phrases in Lingala (Bantu)
This paper examines the non-situational (i.e., non-exophoric) pragmatic functions of the three adnominal demonstratives, oyo, wand, and yango in the Bantu language Lingala. An examination of natural language corpora reveals that, although native-speaker intuitions sanction the use of oyo as an anaphor in demonstrative NPs, this demonstrative is hardly ever used in that role. It also reveals that wand, which has both situational and discourse-referential capacities, is used more frequently than the exclusively anaphoric demonstrative yango. It is explained that wand appears in a wide range of non-coreferential expression types, in coreferential expression types involving low-salience referents, and in coreferential expression types that both involve highly salient referents and include the speaker's desire to signal a shift in the mental representation of the referent towards a pejorative reading. The use of yango, on the other hand, is only licensed in cases of coreferentiality involving highly salient referents and implying continuation of the same mental representation of the referent. A specific section is devoted to charting the possible grammaticalization paths followed by the demonstratives. Conclusions are drawn for pragmatic theory formation in terms of the relation between form (yango vs. wand) and function (coreferentiality vs. non-coreferentiality)
Developmental Stages of Perception and Language Acquisition in a Perceptually Grounded Robot
The objective of this research is to develop a system for language learning based on a minimum of pre-wired language-specific functionality, that is compatible with observations of perceptual and language capabilities in the human developmental trajectory. In the proposed system, meaning (in terms of descriptions of events and spatial relations) is extracted from video images based on detection of position, motion, physical contact and their parameters. Mapping of sentence form to meaning is performed by learning grammatical constructions that are retrieved from a construction inventory based on the constellation of closed class items uniquely identifying the target sentence structure. The resulting system displays robust acquisition behavior that reproduces certain observations from developmental studies, with very modest “innate” language specificity
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