The main aim of this work is to incorporate selected findings from behavioural finance into a Heterogeneous Agent Model using the Brock and Hommes (1998) [34] framework. Behavioural patterns are injected into an asset pricing framework through the so-called ‘Break Point Date’, which allows us to examine their direct impact. In particular, we analyse the dynamics of the model around the behaviou...

We aligned two fundamentally different models of smallpox transmission after a bioterrorist attack: A location-explicit multi-agent model (BioWar) and the conventional epidemiological box model, called a SIR model for Susceptible-Infected-Recovered. The purpose of this alignment is part of a greater validation process for BioWar. From this study we were able to contribute to the overall validat...

One of the major setback preventing the mobile agent technology from being widely exploited is a lack of interoperability between heterogeneous mobile agent systems. In this paper we propose a Java-based framework which enables high-level interoperability between Javabased mobile agent systems. The framework relies on an event-driven, proxy-based mobile agent model and allows for supporting int...

We present a new approach to verifying heterogeneous multi-agent programs — multi-agent systems in which the agents are implemented in different (BDI-based) agent programming languages. Our approach is based on meta-APL, a BDI-based agent programming language that allows both an agent’s plans and its deliberation strategy to be encoded as part of the agent program. The agent programs comprising...

Our overall aim is to provide a verification framework for practical multi-agent systems. To achieve practicality, we must be able to describe and implement heterogeneous multi-agent systems. To achieve verifiability, we must define semantics appropriately for use in formal verification. Thus, in this paper, we tackle the problem of implementing heterogeneous multi-agent systems in a semantical...

been around for more than a decade. Since its beginning, the definition of agent, like the definition of intelligence, has been quite controversial and often provoked hot discussions. Questions such as the following normally come up in such arguments: What is an agent? Should a piece of software be categorized as an agent by looking at its behavioral characteristics or by the methodology using ...

Given the dramatic age variation in COVID death rates, we create a heterogeneous agent version of Behavioral SIR contagion model Engle et al. (2020). The Bayes Nash equilibrium our infection avoidance game yields simple new log-linear relationship between case fatality rate (CFR) and incidence: Everyone knows that everyone optimizes vigilance both for prevalence their CFR. We explain 2020 CDC i...

An agent-based simulation model representing a theory of the dynamic processes involved in innovation in modern knowledge-based industries is described. The agent-based approach allows the representation of heterogeneous agents that have individual and varying stocks of knowledge. The simulation is able to model uncertainty, historical change, effect of failure on the agent population, and agen...