Agentspace is an emerging environment resulting from process automation in the Internet and the Web. It is supposed that autonomous software (mobile) agents provide the automation. The agents realize goals delegated to them by their human masters. Interoperability is crucial to assure meaningful interaction, communication and cooperation between heterogeneous agents and heterogeneous services. ...

The traditional operational optimization models of systematic technology adoption commonly assume the existence of a global social planner and ignore the existence of heterogeneous decision makers who interact with each other. This paper develops a stylized (or conceptual) optimization model of systematic technology adoption with heterogeneous agents (i.e., decision makers) and uncertain techno...

In Part I of this series of papers, we developed a language called Agent Programs for defining the operational behavior of software agents and defined a set of successively more satisfying (epistemically) semantics for such agent programs. In Part II of this series of papers, we study the computation price to be paid (in terms of complexity) for these epistemic desiderata. In particular, we dev...

This paper presents an equilibrium model in a pure exchange economy when investors have three possible sources of heterogeneity. Investors may differ in their beliefs, in their level of risk aversion and in their time preference rate. We study the impact of investors heterogeneity on the properties of the equilibrium. In particular, we analyze the consumption shares, the market price of risk, t...

The poverty impact of indirect tax reforms is analyzed using sequential stochastic dominance methods. This allows agents to differ in dimensions that cannot always be precisely captured within the usual money-metric indicators of living standards. Examples of such dimensions include household size and composition, temporal or spatial variation in price indices, and individual needs and “merits”.

We propose solutions for assignment of physical tasks to heterogeneous agents when the costs of the tasks change over time. We assume tasks have a natural growth rate which is counteracted by the work applied by the agents. As the future cost of a task depends on the agents allocation, reasoning must be both spatial and temporal to effectively minimize the growth so tasks can be completed. We p...

In this demo, we present GENIUS, a tool that facilitates research in the area of bilateral multi-issue negotiation. It implements an open architecture allowing easy development and integration of existing negotiating agents. GENIUS can be used to simulate individual negotiation sessions as well as tournaments between negotiating agents in various negotiation scenarios. It allows the specificati...

Evolutionary algorithms have been applied to the synthesis of neural architectures, but they normally lead to uniform populations. Homogeneous solutions, however, are inadequate for certain applications and models. For these cases, local selection may produce the desired heterogeneity in the evolving neural networks. This chapter describes algorithms based on local selection, and discusses the ...

We develop optimization models to analyze the demand for financial assets by heterogeneous agents. The models extend Frankel’s (1985) earlier approach, and relax the assumption of normality of asset returns. We assume, instead, that investors maximize an expected utility of terminal wealth based on heterogeneous attitudes toward risk. Solving a bi-level optimization program we endogenously esti...

Progressive negotiation is a strategy for resolving conflicts among distributed heterogeneous cooperating agents. This strategy aims at minimizing backtracking to previous solutions and provably ensures consistency of agents’ distributed solutions and convergence on a globallysatisfiable solution. The progressive negotiation strategy is enforced by a task-independent agent called Facilitator, w...