Jadescript is an agent-oriented programming language that benefits from JADE, the popular framework to develop multi-agent systems in Java. The major goal behind the introduction of Jadescript is to simplify the imple...
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Mirowski [Mirowski, P., 2007. Markets come to bits: evolution, computation, and markomata in economic science. Journal of Economic Behavior and Organization 63, 209-242] argues for a constructive approach to economic ...
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Mirowski [Mirowski, P., 2007. Markets come to bits: evolution, computation, and markomata in economic science. Journal of Economic Behavior and Organization 63, 209-242] argues for a constructive approach to economic modeling centered on markets as evolving computational entities. This essay counters that a broader constructive approach to economic modeling can and should be taken. The recent advent of powerful computer technologies supporting agent-based modeling (ABM) renders feasible the computational study of economies modeled as evolving systems of interacting agents. In ABM, an "agent" refers broadly to bundled data and behavioral methods representing an entity constituting part of a computationally constructed world. Examples of possible agent referents include individuals, social groupings, institutions (e.g., markets), biological entities such as crops, and physical entities such as transportation networks and weather. Consequently, ABM provides tremendous opportunities for economists and other social scientists to tailor the breadth and depth of the entities represented in their models to the application at hand. A simple ABM of a two-sector decentralized market economy is used for concrete illustration. (c) 2006 Elsevier B.V. All rights reserved.
In the vision of a future pervaded by Ambient Intelligence (AmI), innovative solutions are required in order to facilitate the development of applications able to fulfill the real needs of the users. In using agents f...
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In the vision of a future pervaded by Ambient Intelligence (AmI), innovative solutions are required in order to facilitate the development of applications able to fulfill the real needs of the users. In using agents for building AmI applications, there is a lack of platforms and languages that strike a good balance between flexibility and power of expression, on the one hand, and ease of use and quick deployment, on the other hand. We introduce the tATAmI platform, which together with the S-CLAIM AOP language presents a suitable solution for these issues. This paper presents the architecture of tATAmI together with a brief description of two scenarios that were implemented using the platform and some other important technical aspects concerning it.
Multi-agent systems become more and more popular due to successful implementations in different fields. However, there is a number of threats that can compromise security of the agent and jeopardize systems security. ...
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Multi-agent systems become more and more popular due to successful implementations in different fields. However, there is a number of threats that can compromise security of the agent and jeopardize systems security. Therefore, security issues should be taken into consideration during development of multi-agent systems. However, different existing methodologies that provide guidelines and models for development of multi-agent systems omit security. Therefore, there is a great need in offering security solutions which are integrated with system functionalities. This research presents a model for securing multi-agent systems, which is developed, based on the concepts and models regarding agent's role and communications. Moreover, possible attacks on multi-agent systems are presented and threats are categorized. Furthermore, general security requirements at the agent and the system levels are defined and considered in the proposed model.
Verification of multi-agent programs is a key problem in agent research and development. This paper focuses on multi-agent programs that consist of a finite set of BDI-based agent programs executed concurrently. We ch...
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ISBN:
(纸本)9780982657119
Verification of multi-agent programs is a key problem in agent research and development. This paper focuses on multi-agent programs that consist of a finite set of BDI-based agent programs executed concurrently. We choose alternating-time temporal logic (ATL) for expressing properties of such programs. However, the original ATL is based on a synchronous model of multi-agent computation while most (if not all) multi-agentprogramming frameworks use asynchronous semantics where activities of different agents are interleaved. Moreover, unlike in ATL, our agent programs do not have perfect information about the current global state of the system. They are not appropriate subjects for modal epistemic logic either (since they do not know the global model of the system). We begin by adapting the semantics of ATL to the situation at hand; then, we consider the verification problem in the new setting and present some preliminary results.
This paper introduces a framework for programming highly sophisticated multi-agent dialogue systems. The framework is based on a multi-part agent belief base consisting of three components: (i) the main component is a...
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ISBN:
(纸本)9781450394321
This paper introduces a framework for programming highly sophisticated multi-agent dialogue systems. The framework is based on a multi-part agent belief base consisting of three components: (i) the main component is an extension of an agent-oriented programming belief base for representing defeasible knowledge and, in particular, argumentation schemes; (ii) an ontology component where existing OWL ontologies can be instantiated; and (iii) a theory of mind component where agents keep track of mental attitudes they ascribe to other agents. The paper formalises a structured argumentation-based dialogue game where agents can "digress" from the main dialogue into subdialogues to discuss ontological or theory of mind issues. We provide an example of a dialogue with an ontological digression involving humans and agents, including a chatbot that we developed to support bed allocation in a hospital; we also comment on the initial evaluation of that chatbot carried out by domain experts. That example is also used to show that our framework supports all features of recent desiderata for future dialogue systems.
The main goal of this research is to design an Inertial Navigation System (INS) which can effectively position a user by using a monocular camera with fiducial markers. People have become accustom to the ease of navig...
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ISBN:
(纸本)9781509043392
The main goal of this research is to design an Inertial Navigation System (INS) which can effectively position a user by using a monocular camera with fiducial markers. People have become accustom to the ease of navigating with Global Navigation Satellite Systems (GNSS) but the system fails indoors when signals degrade. This paper describes the work in progress of the system design, the algorithms in particular, to provide reasonably accurate, precise and reliable indoor navigation.
In this paper we introduce agentSpeak(ER), an extension of the agentSpeak(L) language tailored to support encapsulation. The agentSpeak(ER) extension aims at improving the style of BDI agentprogramming along relevant...
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In this paper we introduce agentSpeak(ER), an extension of the agentSpeak(L) language tailored to support encapsulation. The agentSpeak(ER) extension aims at improving the style of BDI agentprogramming along relevant aspects, including program modularity and readability, failure handling, and reactive as well as goal-based reasoning.
The paper presents a concept of a platform for cloud computing which is intended for development, control and usage of intelligent multi-agent Internet-services. The main purpose of the platform is to decrease the eff...
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The paper presents a concept of a platform for cloud computing which is intended for development, control and usage of intelligent multi-agent Internet-services. The main purpose of the platform is to decrease the efforts needed for support of such services during their lifecycle.
We propose a new framework based on Belief-Desire-Intention multi-agent systems for the macroscopic modelling and simulation of continuous dynamic systems. The main idea is to break down the target system model into a...
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We propose a new framework based on Belief-Desire-Intention multi-agent systems for the macroscopic modelling and simulation of continuous dynamic systems. The main idea is to break down the target system model into a collection of autonomous and loosely coupled interacting components endowed with clean message-based interfaces and local intelligence. Each component is then mapped to a Belief-Desire-Intention agent that captures its state as a set of logical facts and its behavioural patterns as a set of plans. The system model can be described as a multi-agent programme that is specified using the state-of-the-art Jason agent-oriented programming language. The approach is evaluated by considering a generalized graph-based model of predator-prey systems. Our approach supports the configuration of the multi-agent model with various differential equations integration methods, as required by the specific problem.
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