A stock market decision making makes a compelling case for the use of context aware systems that can adapt to a context behavior known as 'random walk'. To defend such a proposition the paper adopts the formul...
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A stock market decision making makes a compelling case for the use of context aware systems that can adapt to a context behavior known as 'random walk'. To defend such a proposition the paper adopts the formulation typically used in sensor driven applications that involves critical context characteristics of pervasiveness and instability. From the pervasive perspective the paper concentrates on the ability to characterize a context-state trajectory behavior in real-time to proactively estimate the trend of context change. From the perspective of instability it discusses context related mechanisms such as hedging with derivative instruments as a way to caliber context aware system sensitivity to contextual changes. To validate the idea the paper introduces a special case of an equity option portfolio that is simultaneously delta, gamma and Vega neutral, to deal with extreme context-state exhibiting unpredictable time-varying behavior. Based on some preliminary results of real life experimentation the paper concludes with a continuing current debate on the distinctive merits of reactive versus proactive context.
Usage of Automated Teller Machines (ATMs) is confined to financial transactions in the present world scenario. Multimedia usage for finance is inhibited by several factors including security and lack of flexible user ...
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ISBN:
(纸本)8955191235
Usage of Automated Teller Machines (ATMs) is confined to financial transactions in the present world scenario. Multimedia usage for finance is inhibited by several factors including security and lack of flexible user interface models to proliferate the public environment usage criterion. Financial services become more attractive when the user obtains a plurality of services over existing access methodology using personalized web pages, animated and other customized mobile agents to mimic the usage patterns. We present an intelligent and novel approach to facilitate and propel financial and non-financial services for public environments that seamlessly integrate wireless multimedia applications and digital content over the financial services network. Our design is based on the Embedded ATM Access Point that uses secure software architecture with V2olP stack to facilitate the usage and creation of a multitude of new services. Dynamic and Adaptive context-Sensitive GUI with animated icons form the trend for the next generation of compact ubiquitous devices that proliferate the home network and public environment.
Usage of Automated Teller Machines (ATMs) is confined to financial transactions in the present world scenario. Multimedia usage for finance is inhibited by several factors including security and lack of flexible user ...
详细信息
ISBN:
(纸本)8955191235
Usage of Automated Teller Machines (ATMs) is confined to financial transactions in the present world scenario. Multimedia usage for finance is inhibited by several factors including security and lack of flexible user interface models to proliferate the public environment usage criterion. Financial services become more attractive when the user obtains a plurality of services over existing access methodology using personalized web pages, animated and other customized mobile agents to mimic the usage patterns. We present an intelligent and novel approach to facilitate and propel financial and non-financial services for public environments that seamlessly integrate wireless multimedia applications and digital content over the financial services network. Our design is based on the Embedded ATM Access Point that uses secure software architecture with V2oIP stack to facilitate the usage and creation of a multitude of new services. Dynamic and Adaptive context-Sensitivc GUI with animated icons form the trend for the next generation of compact ubiquitous devices that proliferate the home network and public environment.
Multi-Agent Technologies propose a new paradigm of computation based on multiple autonomous agents situated in an environment, exhibiting reactive, pro-active and social behaviour. context is an important dimension to...
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Multi-Agent Technologies propose a new paradigm of computation based on multiple autonomous agents situated in an environment, exhibiting reactive, pro-active and social behaviour. context is an important dimension to take into account when building complex and open multi-level, multi-purpose systems. the increasing openness of applications strengthens the need for a common base grounded on an explicit specification of context in order to allow software units that enter a new system to adapt to their new context. In this paper we propose a context-management architecture to be used in open systems based on a multi-agent architecture. We show how agents are able to recognize the context of their decisions and to learn how to make decisions depending on it. Toward this aim, we propose en extended definition of the notion of context and use an ontology-based context representation. We validate our approach in a multi-agent system for the management of an agenda.
New product design is a crucial process for the firm and always induces innovative and unstructured situations that must be deeply analysed. the firms need tools that allow essential knowledge elements to be acquired ...
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New product design is a crucial process for the firm and always induces innovative and unstructured situations that must be deeply analysed. the firms need tools that allow essential knowledge elements to be acquired and structured and new knowledge representations to be created and proposed in communication contexts, to become shared and operational models. Reasoning about context is essential for the choice and correct use of a tool or the intelligent integration of different tools to support the decision in the process. the relationships between decisional and operative contexts have been analysed in relation to real processes of new product design and three different situations of decision support are proposed as possible forms of a hybrid approach, which integrates context modelling and decision support.
Proactive retrieval systems monitor a user's task context and automatically provide the user with related resources. the effectiveness of such systems depends on their ability to perform context-based retrieval, g...
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ISBN:
(纸本)354026924X
Proactive retrieval systems monitor a user's task context and automatically provide the user with related resources. the effectiveness of such systems depends on their ability to perform context-based retrieval, generating queries which return context-relevant results. Two factors make this task especially challenging for Web-based retrieval. First, the quality of Web retrieval can be strongly affected by the vocabulary used to generate the queries. If the system's vocabulary for describing the context differs from the vocabulary used in the resources themselves, relevant resources may be missed. Second, search engine restrictions on query length may make it difficult to include sufficient contextual information in a single query. this paper presents an algorithm, IACS (Incremental Algorithm for context-Based Search), which addresses these problems by building up, applying, and refining partial context descriptions incrementally. In IACS, an initial term-based context description is the starting point for a cycle of mining search engines, performing context-based filtering of results, and refining context descriptions to generate new rounds of queries in an expanded vocabulary. IACS has been applied in a system for proactively supporting concept-map-based knowledge modeling, by retrieving resources relevant to target concepts in the context of the rich information provided by "in progress" concept maps. An evaluation of the system shows that it provides significant improvements over a baseline for retrieving context-relevant resources. We expect the algorithm to have broad applicability to context-based Web retrieval for rich contexts.
Ambient intelligence involves the convergence of several computing areas: ubiquitous computing, intelligent systems and context-awareness. Developing context-aware applications needs facilities for recognizing and rep...
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Ambient intelligence involves the convergence of several computing areas: ubiquitous computing, intelligent systems and context-awareness. Developing context-aware applications needs facilities for recognizing and representing context, reasoning on it and adapting to it accordingly. In what concerns context representation, the newest and most challenging representation is the ontological one. the problem is that current ontologies for context do not provide a standard for representing complex context attributes. In this paper, we propose a context definition and representation used to construct context-based agent architecture. the representation we propose combines the generality provided by ontologies withthe complexity inspired by the object oriented models. the goal of the proposed architecture is to support the deployment of context-aware agents able to learn how to recognize the context of their decisions and to adapt to it. the use of this architecture is illustrated on a test MAS for agenda management, usingthe JADE-LEAP platform on PCs and PDAs.
Researchers in "contextual vocabulary acquisition" differ over the kinds of context involved in vocabulary learning, and the methods and benefits thereof. this paper presents a computational theory of contex...
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In traditional databases and information systems the number of users is more or less known and their background is to a great extent homogeneous. In distributed and heterogeneous environments however such as the Web, ...
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In traditional databases and information systems the number of users is more or less known and their background is to a great extent homogeneous. In distributed and heterogeneous environments however such as the Web, users do not apply the same conventions when interpreting data due to different backgrounds, knowledge or culture. Interpreting and managing data according to the context is a topic not explored in its full potential in these new environments. In this work we present the context Relational model (CR model), a model that extends the relational model to argue also about context. the interesting part of this approach is that context is treated as first-class citizen at the level of database models and query languages. this is due to the fact that an attribute may not exist under some contexts or that the attribute may have different values under different contexts. Apart from the model description this work presents also a set of basic operations which extend relational algebra so as to take context into account.
We propose and develop an approach modeled with multi-attribute utility theory for sensor fusion in context-aware environments. Our approach is distinguished from existing general purpose fusion techniques by a number...
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