ICMAS
1998
13 years 5 months ago
1998
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
ICMAS
1998
13 years 5 months ago
1998
Automated negotiation and coalition formation among self-interested agents are playing an increasingly important role in electronic commerce. Such agents cannot be coordinated by ...
ICMAS
1998
13 years 5 months ago
1998
abstract, form of this problem, we use a mathematical analysis to show that three different messaging protocols result in varying message loads, depending on certain parameters suc...
ICMAS
1998
13 years 5 months ago
1998
The University of Michigan Digital Library (UMDL) is an open system that allows third-parties to build and integrate their own profit-seeking agents into the marketplace of inform...
ICMAS
1998
13 years 5 months ago
1998
For agents to act in collaboration, they often require an agreement that describes how they are to act, to which they are committed. Typically, agreements are characterised as an ...
ICMAS
1998
13 years 5 months ago
1998
To be successful in open, multi-agent environments, autonomous agents must be capable of adapting their negotiation strategies and tactics to their prevailing circumstances. To th...
ICMAS
1998
13 years 5 months ago
1998
Multi-agent models of language evolution usually involve agents giving names to internal independently constructed categories. We present an approach in which the creation of cate...
ICMAS
1998
13 years 5 months ago
1998
After arguing about the crucial importance of trust for Agents and MAS, we provide a definition of trust both as a mental state and as a social attitude and relation. We present t...
ICMAS
1998
13 years 5 months ago
1998
Cooperation ina task oriented multi-agent team is important because a well designed cooperation strategy among a group of cooperating agents can lead to an increase of the group p...
ICMAS
1998
13 years 5 months ago
1998
This work presents a lookahead-based exploration strategy for a model-based learning agent that enables exploration of the opponent's behavior during interaction in a multi-a...