Search results for "decision."
showing 10 items of 2079 documents
Deep Learning for Resource-Limited Devices
2020
In recent years, deep neural networks have revolutionized the development of intelligent systems and applications in many areas. Despite their numerous advantages and potentials, these intelligent models still suffer from several issues. Among them, the fact that they became very complex with millions of parameters. That is, requiring more resources and time, and being unsuitable for small restricted devices. To contribute in this direction, this paper presents (1) some state-of-the-art lightweight architectures that were specifically designed for small-sized devices, and (2) some recent solutions that have been proposed to optimize/compress classical deep neural networks to allow their dep…
Introducing the Concept of Hyperactivity in Multi Agent Systems
2013
International audience; Software Agents are no longer the simple communication gateways for devices to interconnect using one or more networks. With Multi Agent Systems contributing in a wide spectrum of intelligent systems, the Agents are in a more proactive role than just being responsible for passing messages between their respective base systems. Agent Relation Charts and the Hyperactive Transaction Model in general is one of the recent attempts of developing a multi-view design model for Multi Agent Systems. The model has made a clear distinction in the regular and intelligent activities of an agent. Based on these differences, the agents are classified into three main categories named…
An Agents and Artifacts Approach to Distributed Data Mining
2013
This paper proposes a novel Distributed Data Mining (DDM) approach based on the Agents and Artifacts paradigm, as implemented in CArtAgO [9], where artifacts encapsulate data mining tools, inherited from Weka, that agents can use while engaged in collaborative, distributed learning processes. Target hypothesis are currently constrained to decision trees built with J48, but the approach is flexible enough to allow different kinds of learning models. The twofold contribution of this work includes: i) JaCA-DDM: an extensible tool implemented in the agent oriented programming language Jason [2] and CArtAgO [10,9] to experiment DDM agent-based approaches on different, well known training sets. A…
Semantic Web Services for Smart Devices Based on Mobile Agents
2005
Among traditional users of Web resources, industry has a growing set of smart industrial devices with embedded intelligence. Just like humans, they need online services (i.e., for condition monitoring, remote diagnostics, maintenance, etc.). In this paper, we present one possible implementation framework for such Web services. Such services should be Semantic Web enabled and form a Service Network based on internal and external agents’ platforms, which can host heterogeneous mobile agents and coordinate them to perform needed tasks. The concept of a “mobile service component†assumes not only exchanging queries and service responses, but also delivering and composition of a service pro…
On the Use of Preferential Weights in Interactive Reference Point Based Methods
2009
We introduce a new way of utilizing preference information specified by the decision maker in interactive reference point based methods. A reference point consists of aspiration levels for each objective function. We take the desires of the decision maker into account more closely when projecting the reference point to become nondominated. In this way we can support the decision maker in finding the most satisfactory solutions faster. In practice, we adjust the weights in the achievement scalarizing function that projects the reference point. We demonstrate our idea with an example and we summarize results of computational tests that support the efficiency of the idea proposed.
Food safety risk analysis from the producers' perspective: prioritisation of production process stages by HACCP and TOPSIS
2018
[EN] From the manufacturers perspective, the Hazard Analysis and Critical Control Point (HACCP) system nowadays represents the mainly way to implement the food safety risk management in food industries. Nevertheless, the identification and prioritization of hazards as the outcome of the first principle of HACCP is not sufficient to identify production process stages that more significantly and critically contribute to the consumer¿s risks. With this recognition, the present paper proposes a Quantitative Risk Assessment (QRA) approach based on HACCP and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to individuate production process phases on which implementing co…
The Stochastic Intelligence. A Technical Model from Ancient Greece to Robotics
2019
What do we mean when we talk about the “intelligence” of robots? In what sense does a robot “reason” and “take decisions”? Answering these questions can give food for thought towards understanding whether there is either something so specific in human beings that cannot be reproduced in robots, or—as an alternative—the way to improve robots in emulating human behavior. In the following pages I will try to give my contribution by shedding light on some characteristics concerning human reasoning and rationality, mainly referring to the ancient Greek philosophical tradition.
Can Digital Coaching Boost Your Performance? – A Qualitative Study among Physically Active People
2019
The use of sport and wellness technology devices among athletes is highly popular. At the same time the demand for easy to understand, clear, and personalized information is also growing. Instead of numbers, users need and want solutions. Digital coaching can offer solutions for this by providing valuable training data and offering guidance and instructions on how to improve the training. This exploratory study focuses on the experiences, needs, and wants regarding a digital coach application among physically active people, more precisely crosscountry skiers. We found that the digital coach was perceived to have motivational elements. It was also viewed having potential to increase the awar…
Desarrollo Directivo en la toma de decisiones estratégicas y cambio estratégico: el Capital Psicológico como variable facilitadora
2019
Con esta Tesis doctoral pretendemos contribuir al desarrollo directivo desde la toma de decisiones estratégicas y el cambio estratégico en las organizaciones, profundizando en como el capital psicológico del equipo directivo y su desarrollo se convierten en una variable facilitadora de este proceso crítico hoy en las empresas y en sus equipos directivos. En entornos hostiles como los actuales, las resistencias al cambio e inercias en la organización y en las decisiones, hacen de la renovación estratégica un proceso realmente complejo. A lo largo de la investigación de la presente Tesis estamos analizando cómo afecta el Capital Psicológico de los directivos de las empresas a sus procesos dec…
Analysing urban development with decision tree based cellular automata. Toward an automatic transition rule creation process.
2016
International audience