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If we imagine a dynamic environment whose behavior may change in time we can figure out the difficulties that agents located there will have trying to solve problems related to this environment. Changes in an environment e.g. a market, can be quite drastic: from changing the dependencies of some products to add new actions to build new products. The agents should try to cooperate or compete against...
Within service-oriented architectures, components need to discover and interact with suitable services, which in turn can be mapped to particular subtasks. Similarly, in online social communities users may wish to discover information related to a particular interest that matches their personal preferences. These tasks are difficult when the number of available resources to select from is large, and...
In this paper we discuss a modular multi-sense perception system for DIVAs virtual agents. It is based on the idea that local environmental influences are constantly sensed by one or more of an agent's senses (sight, hearing, smell, etc.). The perception system is extensible and modifiable and allows users to dynamically modify how an agent perceives its environment at execution time. This paper focuses...
Agent technology is a good approach for solving a number of problems concerned with personalized learning. In personal learning contexts individual students are given an environment that takes into account of their needs, interests and aspirations, and this is intended to lead to an enhanced learning experience. The aim of this paper is to show how agent systems can not only form a good framework...
There has been growing interest in creating intelligent agents in virtual worlds that do not follow fixed scripts predefined by the developers, but react accordingly based on actions performed by human players during their interaction. In order to achieve this objective, previous approaches have attempted to model the environment and the user's context directly. However, a critical component for enabling...
In this paper, we propose the use of an agent-based architecture to enhance workflow system capacity to support interprofessional, patient-centred palliative care delivery. This paper outlines the concept of palliative care and describes how agents can be used to assist care providers to address the needs of the patient and family. Our architecture is illustrated in a diagram and the agents are described...
In this paper, we present our analysis of trajectories for understanding the behaviour of reactive robots in a patrol task. Reactive robots are considered as one of the main applications of agent technologies and are hence one of the major resources of new challenges for the technologies. The task of our 4 real robots, each of which is equipped with 3 infrared sensors and an identical controller,...
In this paper, we propose a novel community-based approach for web service selection where super-agents with more capabilities serve as community managers. They maintain communities and build community-based reputation for a service based on the opinions from all community members that have similar interests and judgement criteria. The community-based reputation is useful for consumer agents in selecting...
The performance of many emerging communication paradigms depend on high levels of cooperation amongst the peers in the network. Although an individual's best strategy may be to selfishly consume resources without reciprocation, the optimal social performance requires agents in the network to behave in an altruistic manner. This paper considers a P2P data dissemination scenario, and applies an autonomic...
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making autonomous decisions that could significantly surprise and disappoint the operator. Inspired by previous research on making exploration-exploitation tradeoff decisions and on inverse reinforcement learning, we develop Expected...
A human's performance in a complex task is highly dependent on the demands of the task, in the sense that highly demanding situations will often cause a degradation of performance. To maintain performance quality usually extra effort has to be contributed. However, the resources for such extra effort available to the human are limited. In this paper an agent model is proposed in which different types...
We propose Multi-HDCS, a new hybrid approach for solving Distributed CSPs with complex local problems. In Multi-HDCS, each agent concurrently: (i) runs a centralised systematic search for its complex local problem; (ii) participates in a distributed local search; (iii) contributes to a distributed systematic search. Acentralised systematic search algorithm runs on each agent, finding all non-interchangeable...
In spite of the rising demands for reusable information systems, current designs are still insufficient in providing efficient reusable mechanisms for system design. One of the major problems hindering the development of information reuse in most traditional systems, which include component-based systems and object-oriented systems, is the lack of the self-organising ability among the system components...
In this paper it is explored whether personalisation of an existing computational model of attention can increase the model's validity. Computational models of attention are for instance applied in attention allocation support systems and can benefit from this increased validity. Personalisation is done by tuning the model's parameters during a training phase, using Simulated Annealing (SA). The adapted...
This paper presents an agent-based model to compare different coordination patterns in joint fire support (JFS) scenarios. Modern war fighting approaches depend heavily on a separation of concerns (like reconnaissance, coordination and engagement) and therefore impose high requirements on the coordination of all involved parties. Following the General Reference Model for Agent-Based Modeling and Simulation...
ASEME is an emerging Agent Oriented Software Engineering (AOSE) methodology. The Model-Driven Engineering (MDE) paradigm encourages software modelers to automate the transition of one type of software model to another and eventually the code generation process. This paper builds on previous work that describes the model-driven development of agent systems using ASEME and creating a Platform Independent...
This paper studies online quality measurement in cloud computing environment. The paper analyzes concentration measure evaluation method of the current software quality evaluation system. As is known to all, the existing evaluation technology uses concentrated evaluation before run-time. By testing and analyzing results, the quality is obtained. In this paper, by analyzing the features in cloud computing...
The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a class of self-organizing neural networks called fusion Adaptive Resonance Theory (fusion ART). By replacing the production system of ACT-R by a fusion ART model, FALCON-X integrates high-level deliberative cognitive behaviors and...
It is widely acknowledged that providing explanations is an important capability of intelligent systems. Explanation capabilities are useful, for example, in scenario-based training systems with intelligent virtual agents. Trainees learn more from scenario-based training when they understand why the virtual agents act the way they do. In this paper, we present a model for explainable BDI agents which...
In this paper, we introduce how one can validate an event-centric trading simulation platform that is built with multi-agent technology. The issue of validation is extremely important for agent-based simulations, but unfortunately, so far there is no one universal method that would work in all domains. The primary contribution of this paper is a novel combination of event-centric simulation design...
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