The recent advances in network-based software applications and the advent of ubiquitous computing are pushing us inevitably towards a world of autonomous software architectures. This trend has spurred the revitalization of agent technology as a complement to the object paradigm for a variety of modern application domains, including e-commerce, software development environments, and personal ass...

This paper demonstrates the potential role of autonomous agents in economic theory. We first dispatch autonomous agents, built by genetic programming, to double auction markets. We then study the bargaining strategies, discovered by them, and from there, an autonomous-agent-inspired economic theory with regard to the optimal procrastination is derived.

We present a framework that represents and adapts the organization coordination knowledge of autonomous agent systems. Organization coordination knowledge represents long-term knowledge about problem solving relationships between agents. As problem solving conditions change, organization coordination knowledge must be adapted to maintain system performance. Our framework includes: (1) an organi...

Learning new knowledge from single instructions and being able to apply it immediately is a highly desirable capability for artificial agents. We provide the first demonstration of spoken instructionbased one-shot object and action learning in a cognitive robotic architecture and discuss the modifications to several architectural components required to enable such fast learning, demonstrating t...

This paper describes an argumentation-based approach for automating the decision making process of an autonomous agent for pricing products. Product pricing usually involves different decision makers with different possibly conflicting points of view. Moreover, when considering firms in the retail business sector, they have hundreds or thousands of products to apply a pricing policy. Our approa...

An agent may decide to delegate tasks to others. The act of delegating a task by one autonomous agent to another can be carried out by the performance of one or more imperative communication acts. In this paper, the semantics of imperatives are specified using a language of actions and states. It is further shown how the model can be used to distinguish between whole-hearted and mere extensiona...

This paper proposes a model for combination of external and internal stimuli for the action selection in an autonomous agent, based in an action selection mechanism previously proposed by the authors. This combination model includes additive and multiplicative elements, which allows to incorporate new properties, which enhance the action selection. A given parameter a, which is part of the prop...

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The ability to predict, or at least recognize, the state of the world that an action brings about, is a central feature of autonomous agents. We propose, herein, a formal framework within which we investigate whether this ability can be autonomously learned. The framework makes explicit certain premises that we contend are central in such a learning task: (i) slow sensors may prevent the sensin...