Readings in Agents
Michael N. Huhns, Munindar Paul Singh
Morgan Kaufmann, 1998 - Computers - 523 pages
The world of agents comprises a broad range of intelligent programs that perform specific tasks on behalf of their users. Agents are distinguished from other types of software by their status as independent entities capable of completing complex assignments without intervention, rather than as tools that must be manipulated by a user. Largely the province of speculation before the early 1990s, agent research has flourished since the advent of the Internet, which has created an ideal operating environment.
This important collection unifies the extensive recent literature on agent technology, presenting a wealth of the finest published papers on both theory and applications. Huhns and Singh have drawn on research communities in AI, databases, distributed computing, and programming languages to assemble the most comprehensive overview of the agent world available. The editors add a summary of the field and its terminology, history, and major issues, together with introductions to each of the thematic chapters and discussions of the significance and context of the individual papers.
+ applications of agents
+ classical techniques for agent construction
+ theory for modeling and understanding agents
+ intellectual frontiers in agent science.
Researchers, practitioners, and students will gain the essential background and perspective needed to understand and appreciate current and future agent research.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Industrial Applications of Distributed Al
An Experiment in Integrating Concurrent Engineering Systems
A SoftbotBased Interface to the Internet
Collaborative Interface Agents
Multiagent Coordination in Tightly Coupled Task Scheduling
Visualization as an Emergent
Using a DomainKnowledge Ontology as a Semantic Gateway
Transportable Information Agents
Credits and Debits on the Internet
Distributing Trust with the Rampart Toolkit
From Intelligent Agents to Open Systems Science
An Open Agent Architecture
AgentBased Semantic Integration of Information
A Pragmatic BDI Architecture
An Architecture for Action Emotion and Social Behavior
A Social Reasoning Mechanism Based On Dependence Networks
Formalizing the Cooperative Problem Solving Process
Independent vs Cooperative Agents
abstraction achieve action Actor agent architecture agent communication language algorithm application approach Artificial Intelligence autonomous agents axioms behavior belief Broker collaborative commitment communication Computer concepts concurrent Conference on Artificial constraints cooperation coordination database decision defined described developed distributed Distributed Artificial Intelligence distributed computing domain dynamic engineering environment example execution Figure formal framework function gesture global goal Huhns IEEE implemented InfoSleuth integrated intentions interaction interface interlingua itinerant agent knowledge representation KQML language learning logic Machine Learning matchmaker mechanisms mediators ment multiagent systems multiple negotiation objects ontology operations optimal performance prediction problem Proceedings protocol Q-learning query query plan reinforcement learning representation request Sandholm scheduling semantics server shared simulation Singh softbot software agents specific speech acts structure task theory tion UMDL user's userbot