The paper is based on agent plan computing where the interaction amongst heterogeneous computing resources is via objects, multiagent AI and agent intelligent languages. Modeling, objectives, and planning issues are examined at an agent planning. A basis to model discovery and prediction planning is stated. The new AI agent computing business bases defined during the last several years can be a...

According to the Basel III regulatory framework, uniform minimum liquidity requirements have been imposed on all types of banks. Using an agent-based model of a banking system, we investigate the effects of liquidity requirements on banks' insolvency under two policy experiments in one of which the minimum liquidity requirements are applied uniformly and in the other differentially across banks...

The aim of this paper is to propose a heterogeneous agent model of stock markets that develop complicated endogenous price fluctuations. We find occurrences of non-stationary chaos, or speculative bubble, are caused by the heterogeneity of traders’ strategies. Furthermore, we show that the distributions of returns generated from the heterogeneous agent model have fat tails, a remarkable stylize...

With the increased demand for distributed simulation to support large-scale modeling and simulation applications, much research has focused on developing a suitable framework to support simulation across a heterogeneous computing network. Middleware based solutions have dominated this area for years, however, they lack the flexibility for model partitions and dynamic repartition due to their in...

This paper introduces TUTW – Temporal Uncertainty Time Warp – a control engine designed for an exploitation of temporal uncertainty (TU) in general optimistic simulations, and concentrates on an agentbased implementation of TUTW which enables distributed simulations over the Internet. A novel concept in TUTW is an event model where time intervals are attached to events instead of classical punc...

Reconfigurability and mutability are features frequently found in agents operating in heterogeneous computing environment. At the same time, they pose major challenges to the software engineering process. In this paper we review these challenges and discuss their implications towards the agent oriented software engineering methodologies. We propose a set of extensions to the Gaia agent-oriented...

Agent-based software applications need to incorporate agents having heterogeneous architectures in order for each agent to optimally perform its task. HEMASL is a simple meta-language used to specify intelligent agents and multi-agent systems when different and heterogeneous agent architectures must be used. HEMASL specifications are based on an agent model that abstracts several existing agent...

Agent-based software applications need to incorporate agents having heterogeneous architectures in order for each agent to optimally perform its task. HEMASL is a simple meta-language used to specify intelligent agents and multi-agent systems when different and heterogeneous agent architectures must be used. HEMASL specifications are based on an agent model that abstracts several existing agent...

In this paper we argue that open multi-agent systems can be effectively designed and implemented as electronic institutions composed of a vast amount of heterogeneous (human and software) agents playing different roles and interacting by means of speech acts. Thus taking inspiration from traditional human institutions, we offer a general agent-mediated computational model of institutions that s...

In this paper we propose a probabilistic approach to synthesize an agent-based heterogeneous population interaction model to study the spatio-temporal dynamics of an air-born epidemic, such as influenza, in a metropolitan area. The methodology is generic in nature and can generate a baseline population for cities for which detailed population summary tables are not available. The joint probabil...