One of the challenges in modeling human behavior is accurately capturing the conditions under which people will behave selfishly or selflessly. Researchers have been unable to craft purely cooperative (or competitive) scenarios without significant numbers of subjects displaying unintended selfish (or selfless) behavior (e.g., Rapoport & Chammah, 1965). In this work, rather than try to further i...

In this paper we compare models of two different kinds of processes in multi-agentbased social simulations (MABSS): military conflict within a states-system (GeoSim), and land use and ownership change (FEARLUS). This is a kind of model-to-model comparison which is novel within MABSS research, although well-known within mathematics, physics and biology: comparing objects (in this case MABSS) dra...

In this paper an uncapacitated multiple allocation p-hub median problem is discussed. The model minimizes the transportation cost based on inventory service level at hubs through double paths between hubs. Inventory service level is defined as the percent of inventory shortage of vehicles at hubs according to passengers demand and replenishment time of vehicles. A real data from 25 nodes of mun...

In order to realize the dynamic regulation and control of regional water resources alleviate imbalance between supply demand resources, on basis refined management General Water Allocation Simulation Model (GWAS) Handan City was constructed. The research optimal allocation in different regions counties under normal dry years planning (2025 2035) carried out. results show that allocated volume 2...

This paper presents an agent-based approach to online assembly task allocation and scheduling for flexible assembly systems. We propose an anytimescheduling algorithm to handle dynamic changes during planning. This algorithm is the center of an agent-based architecture in which agents for scheduling, collision avoidance, task execution, and task monitoring collaborate to overcome unexpected exe...

The problem of analysing operational policies for transhipping containers in a port container terminal is studied using an agent-based simulation approach. The decision makers involved in transhipment operations, i.e., the terminal manager, the port captain, the stevedores and the ship captains, as well as some of the operators of the physical resources, such as cranes and straddle carriers, ar...

* University of Kaiserslautern, AG Expertensysteme / Prof. Richter, P.O. Box 3049, D-67653 Kaiserslautern, Germany, e-Mail: {maurer, paulokat}@informatik.uni-kl.de Abstract. In this paper we describe a framework for defining and operationalizing conceptual models of distributed knowledge-based systems which extends published approaches by the notion of „agents“ and multiple task decompositions....

Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to be able to construct compact models of the data. Structuring the problem into sub-problems that can be modeled independently is a means for achieving compactness. We describe the Independent Variable Group Analysis (I...

Market or auction based algorithms offer effective methods for de-centralized task assignment in multi-agent teams. Typically there is an implicit assumption that agents are willing to cooperate and can be trusted to perform assigned tasks. Reciprocal collaboration may not always be a valid assumption. In cases where auctions are used for task allocation, without explicit revenue exchange, ince...