Decentralized A.I., 2Y. Demazeau, J.-P. Müller Elsevier, 04/12/1991 - 296 páginas The purpose of this proceedings is to stimulate exchange and discussion of research in the field of multi-agent systems. A multi-agent system consists of at least two agents that are engaged in some task that may require coordination, cooperation and/or competition. An autonomous agent has its own goals, capabilities and knowledge. The actions of an agent occur in the context of other agents that may have structures and strategies different from the agent's own. Multi-agent problems arise when several autonomous agents share a common environment. These problems may result from limited resources, shared or competing goals, etc. This MAAMAW workshop proceedings emphasizes multi-agent systems of all sorts from very simple to very complex agents and agent organizations. |
Índice
| 11 | |
Chapter 3 SITUATED ACTION AS A BASIS FOR COOPERATION
| 35 |
Intentional Descriptionsof Intentional Agents | 49 |
Chapter 5 A NEGOTIATION FRAMEWORK FORAUTONOMOUS AGENTS
| 71 |
Chapter 6 CAUSATIVE FORCES IN MULTIAGENT PLANNING
| 89 |
Intentional Descriptionsof Agents | 107 |
Chapter 8 GROUP ABILITY AND STRUCTURE
| 127 |
DISENTANGLING VARIOUS TYPES OF PROSOCIAL INTERACTION
| 147 |
Chapter 11 THE FRAMEWORK OF ECOPROBLEM SOLVING
| 181 |
A MULTIAGENT TESTBED FOR HETEROGENEOUS AGENTS
| 195 |
Part Chapter VI Intentional Agents
| 215 |
Chapter 14 MODELLING AUTONOMOUS BELIEF REVISION IN DIALOGUE
| 231 |
TOWARDS A FORMAL MODEL OF AN AUTONOMOUS AGENT
| 245 |
Chapter 16 ADAPTATION BASED ON COOPERATIVE LEARNINGIN MULTIAGENT SYSTEMS
| 257 |
Chapter 17 NEGOTIATION A N D GOAL RELAXATION
| 273 |
Reactive Descriptions of Agents | 159 |
Outras edições - Ver tudo
Decentralized A.I. 2: Proceedings of the Second European Workshop ..., Volume 2 Yves Demazeau,Jean-Pierre Müller Visualização de excertos - 1991 |
Palavras e frases frequentes
ability achieve agent environment APTL architecture assumptions autonomous agents axioms behaviour belief revision brick-C causer communication Computer conflict constraints cooperating agents coordination agent defined definition dependence described Distributed Artificial Intelligence domain eco-agent environment epistemic example execution expert system Figure final first flee formal formulas framework Gasser given goal group of agents hypothesis implementation influence initial instance intention interaction internal joint plan know-how knowledge base knows learning Little John MAGES modal logic Modelling Autonomous move multi-agent planning multi-agent systems mutual negotiation protocol notion objects observer possible proposed pure strategy reactive reasoning tree relations represented Robin Robin Hood Rosenschein rules satisfaction satisfied scenario Science Publishers B.V. semantics simulation situated action Skinner Box SMALLTALK specific SRS-worlds stranger robot strategy structure Sussman anomaly task temporal logic testbed theory to-loc types Vrije Universiteit Brussel Werner Workshop worldstate Worth function Yves DEMAZEAU