Results 1 - 10 of 305,020

Table 1: Selected Single AI / Multi-Agent Planning Concepts

in MAMBA: Automatic Customization of Computerized Business Processes
by St. Kirn, R. Unland, U. Wanka 1994
"... In PAGE 12: ... Any multi-agent planning approach requires the establishment of an agent model, a concept of individual and multi-agent plans, and a model of the relevant plan interactions. Table1 presents an overview of some of the most... ..."
Cited by 5

Table 1: Agent Behaviors in a Multi-Agent Environment

in A Simplified Calculus for Situated Multi-Agent Systems
by Chrysafis Hartonas 2003
"... In PAGE 3: ...We first provide a basic language for the specification of agent behavior expressions, in Table1 . Note that the operator used to specify recursively defined behavior expressions is a variable binding operator.... ..."
Cited by 2

Table 2-1 Multi-Agent systems summary table

in unknown title
by unknown authors
"... In PAGE 35: ....3.8. Summary Table In the following table the comparable information abailable about each project/system in this chapter is summarized. Perpetuum Mobile Procura MAGENTA JAMES AMETAS Grasshopper MIAMI MESIS System type Framework Framework Platform Agent System Agent development and runtime platform Agent System Agent System Mobility environment Mopbile Code daemon (MCD) Lieus Agency Place Agency Security support Authorization authentication Authentication / secure communication PKI support Implementation Java Java Java Java Java Java Mobility support Sockets IIOP/RMI/sockets Local/legacy support Native methods Native methods SNMP services Native code services Stationary agents CORBA legacy systems Reliability mechanism Backup copy of agents JAR repositories / checkpoint- and-restart Implemented system Network Simulator Astrolog NetDorctor MIAMI / MESIS - VoD Table2... ..."

Table 2: Experimental results for multi agent experiments

in Reactive and Motivational Agents: Towards a Collective Minder
by Daryl Davis 1996
"... In PAGE 17: ... Each of these scenarios is run 1000 times. Table2 displays the mean and variance for age (for when the agent either left the environment or was killed) for all these situations. plus the percentage of agents that manged to leave the room.... ..."
Cited by 15

TABLE I SUMMARY OF MULTI-AGENT LEARNING ALGORITHMS UNDER OUR NEW CLASSIFICATION.

in Playing is believing: the role of beliefs in multi-agent learning
by Yu-Han Chang, et al.

Table 1. Agent-based methodologies versus NFRs for multi-agent systems

in Modeling Multi-Agent Systems
by Carla Silva, Rosa Pinto, Jaelson Castro, Patrícia Tedesco 2007
"... In PAGE 12: ...According to Table1 , both GAIA and Tropos fully satisfy the Organisation, Autonomy and Sociability aspects of a multi-agent system, as we have argued above. GAIA fully satisfies the Interaction property of a multi-agent system, while Tropos just satisfies it partially since Gaia interaction models denote the process in more details than the ones from Tropos.... ..."
Cited by 3

Table 9: Performance Comparison of the Different Algorithms on the Multi-Agent Tiger Problem.

in Formal models and algorithms for decentralized control of multiple agents
by Sven Seuken, Shlomo Zilberstein 2005
"... In PAGE 59: ... Except for MBDP, all algorithms, whether optimal or approximate, cannot solve standard benchmark problems for horizons larger than 10. Table9 presents a performance comparison of all off-line planning algorithms for finite-horizon DEC-POMDPs for which experimental results on the multi-agent tiger problem have been reported. Shown are the solution values achieved for each horizon.... ..."
Cited by 3

TABLE 1. THE PrT MODEL FOR THE MULTI-AGENT BLOCKS PROBLEM Transition Precondition predicates amp;

in Generating Parallel Plans Based on Planning Graph Analysis of Predicate/Transition Nets
by Dianxiang Xu, Richard A. Volz, Thomas R. Ioerger 2002
"... In PAGE 3: ... As a team, however, r1 and r2 can move blocks of type c. The transitions for the extended blocks world problem are specified in TABLE1 . A part of the graphical PrT model is shown in Fig.... ..."
Cited by 1

Table 2. Some multi-agent interaction axioms in multi-agent a9a11a10a116a12

in Multi-Agent ¢¡¤ £ Logic Wooldridge
by unknown authors

Table 1. Results for multi-agent factory setting POMDP over 10 runs. values are multiplied by 102. Algorithm mean max secs to = 5

in Scaling internal-state policy-gradient methods for POMDPs
by Douglas Aberdeen, Jonathan Baxter 2002
"... In PAGE 4: ... They also learn to wait when their sensors fail, using the wait action to gather information. Table1 shows GAMP consistently learns the hand designed policy. It is important to note that GAMP does not use sam- ples to estimate gradients.... ..."
Cited by 8
Results 1 - 10 of 305,020