In dealing with variety of heterogeneous agent models where agents might have zero measure, and where agents’ type includes continuous variable (like asset holding), we need a consistent way to keep track of the type distribution of agents. That’s why we need the help of the measure theory. We will study the minimum set of knowledge on the measure theory to deal with the issue. The part of this...

We study monotone equilibrium behavior in contests with observable effort (bid) where three or more participants have distinct risk attitudes and the monetary value for the prize of each is drawn independently from a distinct distribution. These differences can either cause a player to drop out, that is always choose zero effort regardless of his valuation, or use “all-or-nothing” strategies wi...

We analyze a model of resource allocation in which agents’ abilities (to transform the resource into an interpersonally comparable outcome) and initial endowments may differ. We impose ethical and operational axioms in this model and characterize some allocation rules as a result of combining these axioms. Two focal (and polar) egalitarian rules are singled out. On the one hand, the rule that a...

We present negotiated search, a paradigm for cooperative search and conflict resolution among loosely-coupled expert agents. The paradigm is realized in TEAM, a framework that provides a flexible environment for agent integration. TEAM enables agents with heterogeneous characteristics and capabilities to work together cooperatively. Experimental results from a design application program impleme...

An explanation is provided for the evolution of segmented marketplaces in a pairwise exchange economy. Large traders operating in a pairwise exchange market prefer to meet other similar traders, because this enables them to trade their endowments in a smaller number of encounters. Large and small traders, however, cannot be distinguished a priori, and the existence of the small traders imposes ...

Economic agents differ from physical atoms because of the learning capability and memory, which lead to strategic behaviour. Economic agents learn how to interact and behave by modifying their behaviour when the economic environment changes. We show that business fluctuations are endogenously generated by the interaction of learning agents via the phenomenon of regenerative-coordination, i.e. a...

As IT industries develop, upgrade and diversify, heterogeneous operating environments running a mix of new and legacy systems become increasingly important. Such environments are currently inadequate due to lack of compatibility with each other. This thesis investigates how agents can be utilised to facilitate such heterogeneous environments, aiding enterprise systems in building bridges betwee...

Every driver behaves differently in traffic. However, when it comes to micro-simulation of drivers with a high level of detail no framework manages to model the complexities of various driving styles as well as scale up to larger simulations. We propose a framework of micro-simulation combined with cognitive agents to facilitate such simulation tasks. Our goal is to (i) model individual drivers...

As agents move into ever more important applications, there is a natural growth in interest in techniques for synthesizing multiagent systems. We describe an approach for engineering the coordination requirements of a multiagent system based on an analysis of conversation instances extracted from usage scenarios. This approach exploits the notion of Dooley graphs that were recently introduced t...

This paper will examine a model with many agents, each of whom has a different belief about the dynamics of a risky asset. The agents are Bayesian and so learn about the asset over time. All agents are assumed to have a finite (but random) lifetime. When an agent dies, he passes his wealth (but not his knowledge) onto his heir. As a result, the agents never become sure of the dynamics of the ri...