4,721 research outputs found
Introduction to Iltis: An Interactive, Web-Based System for Teaching Logic
Logic is a foundation for many modern areas of computer science. In
artificial intelligence, as a basis of database query languages, as well as in
formal software and hardware verification --- modelling scenarios using logical
formalisms and inferring new knowledge are important skills for going-to-be
computer scientists. The Iltis project aims at providing a web-based,
interactive system that supports teaching logical methods. In particular the
system shall (a) support to learn to model knowledge and to infer new knowledge
using propositional logic, modal logic and first-order logic, and (b) provide
immediate feedback and support to students. This article presents a
prototypical system that currently supports the above tasks for propositional
logic. First impressions on its use in a second year logic course for computer
science students are reported
Towards an Intelligent Tutor for Mathematical Proofs
Computer-supported learning is an increasingly important form of study since
it allows for independent learning and individualized instruction. In this
paper, we discuss a novel approach to developing an intelligent tutoring system
for teaching textbook-style mathematical proofs. We characterize the
particularities of the domain and discuss common ITS design models. Our
approach is motivated by phenomena found in a corpus of tutorial dialogs that
were collected in a Wizard-of-Oz experiment. We show how an intelligent tutor
for textbook-style mathematical proofs can be built on top of an adapted
assertion-level proof assistant by reusing representations and proof search
strategies originally developed for automated and interactive theorem proving.
The resulting prototype was successfully evaluated on a corpus of tutorial
dialogs and yields good results.Comment: In Proceedings THedu'11, arXiv:1202.453
UNICORE and GRIP: experiences of grid middleware development
We describe our experiences with the UNICORE Grid environment. Several lessons of general applicability can be drawn in regard to user uptake and security. The principal lesson is that more effort should be taken to be made to meet the needs of the target user community of the middleware development. Novel workflow strategies, in particular, should not be imposed on an existing community
Design of text generator application with OpenAI GPT-3
The increasing need for text content creation today challenges the development of systems that can alleviate the need for text creation. Currently, text generation is done manually and has various shortcomings, especially in terms of time constraints, human error, limited creativity, and writing that tends to be repetitive by certain people, which can cause a decrease in quality and diversity in the sentences produced. This research was conducted by designing an AI-based text generator application using the GPT-3 language model to generate text automatically and help overcome some obstacles. Applying this app will increase efficiency and productivity, increase the writer's ideas and creativity, automate routine tasks, and produce exciting and communicative sentences. The app's ability to generate text quickly and accurately and be personalized makes it valuable in various fields. The method used in this research is implementing the GPT-3 language model APIs into the text generator application created so that the application can connect with the GPT-3 engine that has been modified in its prompting method. The output of this application is a text that has been adjusted to the user's needs through keywords entered on the web interface system. The result is that the text generator application is good enough to be implemented in various fields, especially text content generation.
An agent-based architecture for managing the provision of community care - the INCA (Intelligent Community Alarm) experience
Community Care is an area that requires extensive cooperation
between independent agencies, each of which needs to meet its own objectives and targets. None are engaged solely in the delivery of community care, and need to integrate the service with their other responsibilities in a coherent and efficient manner. Agent technology provides the means by which effective cooperation can take place without compromising the essential security of both the client and the
agencies involved as the appropriate set of responses can be generated through negotiation between the parties without the need for access to the main information repositories that would be necessary with conventional collaboration models. The autonomous nature of agents also means that a variety of agents can cooperate
together with various local capabilities, so long as they conform to the relevant messaging requirements. This allows a variety of agents, with capabilities tailored to the carers to which they are attached to be developed so that cost-effective solutions can be provided.
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Revisiting Actor Programming in C++
The actor model of computation has gained significant popularity over the
last decade. Its high level of abstraction makes it appealing for concurrent
applications in parallel and distributed systems. However, designing a
real-world actor framework that subsumes full scalability, strong reliability,
and high resource efficiency requires many conceptual and algorithmic additives
to the original model.
In this paper, we report on designing and building CAF, the "C++ Actor
Framework". CAF targets at providing a concurrent and distributed native
environment for scaling up to very large, high-performance applications, and
equally well down to small constrained systems. We present the key
specifications and design concepts---in particular a message-transparent
architecture, type-safe message interfaces, and pattern matching
facilities---that make native actors a viable approach for many robust,
elastic, and highly distributed developments. We demonstrate the feasibility of
CAF in three scenarios: first for elastic, upscaling environments, second for
including heterogeneous hardware like GPGPUs, and third for distributed runtime
systems. Extensive performance evaluations indicate ideal runtime behaviour for
up to 64 cores at very low memory footprint, or in the presence of GPUs. In
these tests, CAF continuously outperforms the competing actor environments
Erlang, Charm++, SalsaLite, Scala, ActorFoundry, and even the OpenMPI.Comment: 33 page
Helping Teachers Generate Exercises with Random Coefficients
International audienceFirst, we propose two taxonomies concerning software designed for teaching mathematics, which we call Technology Enhanced Learning (TEL) environments, the first one concerns the teacher's place and role in TEL environments, the second one concerns the activities which are foreseen and provided by TEL environments. Second, we consider TEL environments which provide teachers with tools for building patterns of exercises used in the TEL environment to generate randomly and dynamically exercises or lists of exercises. Our approach is compared to classical approaches (based on standards like IMS-QTI or on Computer Algebra Systems)
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