In recent years auctions have become more and more important in the field of multiagent systems as useful mechanisms for resource allocation and task assignment. In many cases the Vickrey (second-price sealed-bid) auction is used as a protocol that prescribes how the individual agents have to interact in order to come to an agreement. We show that the Vickrey auction, despite its theoretical be...

The problem of development and application of the multiagent techniques for organizing mobile exploring agents' cooperative behavior is examined. The main problems related to design and operating of distributed decentralized homogeneous multi-agent systems with restricted local interaction between agents are analyzed. A number of collective behavior models (algorithmic, interpolational, entropi...

In recent times researchers have initiated investigating emotion as a collective property of groups, emphasizing the influence of combined emotions among group members on group processes. Within groups humans recognize and react emotionally to expressions of emotions of other group members. This paper uses a multi-agent-based approach to formalize and simulate such emotion contagion within groups.

Increasingly, agent teams are used in realistic and complex multiagent environments. In such environments, dynamic and complex changes in the environment require appropriate adaptation of the teamwork (collaboration) among team-members. As RoboCup proposes to provide multi-agent researchers with a standard test-bed for evaluation of methodologies, it is only natural to use it for investigating ...

Formal dialectic systems have been suggested as a means to model inter-agent communication in multi-agent systems. The formal dialectic systems of Hamblin are practical models for the computational implementation of such a system of argumentative dialogue. This paper introduces a formal framework for the specification of Hamblintype systems that has a range of benefits for theoretical work in t...

This paper describes a multiagent variant of Dyna-Q called M-Dyna-Q. Dyna-Q is an integrated single-agent framework for planning, reacting, and learning. Like DynaQ, M-Dyna-Q employs two key ideas: learning results can serve as a valuable input for both planning and reacting, and results of planning and reacting can serve as a valuable input to learning. M-Dyna-Q extends Dyna-Q in that planning...

This paper is to describe the PolyteCS simulation team. PolyteCS is the result of 15 months of research in RoboCup Simulation Research Lab. Our main goal in this project is to develop a multi-agent system based on fast and improved methods of learning and deciding in cooperative planning .We also introduce a new concept to make heterogeneous agents. To achieve this, PolyteCS uses case-based rea...

This paper focuses on a solution to the problem of task allocation through coalition formation and presents the design and implementation of a framework for this purpose. The framework serves as a multi-agent execution environment where worker agents follow the Shehory-Kraus’s coalition formation algorithm to negotiate and form coalitions. Worker agents prefer to form an optimal coalition to ma...

This paper aims at defining the semantics of Agent Communication Languages (ACLs) in terms of changes in the social relationships between agents, represented in terms of social commitments. We take commitment to be a primitive concept underlying the social dimension of multiagent systems, and define a basic artificial institution that provides agents with the means to affect the commitment netw...

We present a cooperative, multistep negotiation mechanism for multiagent systems. This mechanism uses marginal utility gain and marginal utility cost to structure the negotiation process. This enables an agent to understand another agent’s situation in order to find a solution that increases their combined utility. These two values summarize the agent’s local information and reduce the communic...