In this paper, we visualize the behavior of a futures trading agent by using fuzzy if-then rules. The main aim of this paper is to graphically interpret how trading agents make decisions such as to buy or to sell a futures stock. Fuzzy ifthen rules are used for this aim because their antecedent part specifies the features of time series. The procedure for visualizing the behavior of trading age...

This paper studies how to balance evolutionary design and human expertise in order to best design situated autonomous agents which can learn speciic tasks. A genetic algorithm designs control circuits to learn simple behaviors, and given control strategies for simple behaviors, the genetic algorithm designs a combinational circuit that switches between these simple behaviors to perform a naviga...

Metareasoning is an important capability for autonomous systems, particularly for those being deployed on long duration missions. An agent with increased self-observation and the ability to control itself in response to changing environments will be more capable in achieving its goals. This is essential for long-duration missions where system designers will not be able to, theoretically or prac...

Socially intelligent agents are autonomous problem solvers that have to achieve their objectives by interacting with other similarly autonomous entities. A major concern, therefore, is with the design of the decision-making mechanism that such agents employ in order to determine which actions to take to achieve their goals. An attractive and much sought after property of this mechanism is that ...

Increasingly many systems are being conceptualised, designed and implemented as marketplaces in which autonomous software entities (agents) trade services. These services can be commodities in e-commerce applications or data and knowledge services in information economies. In such systems, dynamic pricing through some form of negotiation or auction protocol is becoming the norm for many goods a...

In this paper we describe how a set of autonomous computational agents can cooperate in providing coherent management of information in environments where there are many diverse information resources. The agents use models of themselves and of the resources that are local to them. Resource models may be the schemas of databases, frame systems of knowledge bases, or process models of business op...

This paper studies how to extend the concept of active object into a structure of agent. It rst discusses the requirements for autonomous agents that are not covered by simple active objects. We propose then the extension of the single behavior of an active object into a set of behaviors (reactive or deliberative) with a meta-behavior supervising their interactions. To make a concrete proposal ...

This paper investigates the skills of autonomous agents to reorganize their society as answer to environmental changes. The reorganization of an agent society can be motivated by the desire to reduce connicts within inter-agent cooperation and to increase the eeciency in achieving goals. Our interest is centered on situations where new agents want to join an existing agent society which has est...

In the recent years there has been a growing interest in the design and implementation of smart homes. The evaluation of these approaches requires massive datasets of measurements from deployed sensors in real prototypes. While datasets obtained by real smart homes are freely available, they are not sufficient for comparing different approaches and techniques in a variety of configurations. In ...

This paper presents a agent's architecture, an implementation and a task planner.