AGENTS 2001 - PDF Preprint Papers

AGENTS 2001 International Conference on Autonomous Agents

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AGENTS
2001
Springer

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Adjustable autonomy in real-world multi-agent environments

14 years 5 months ago

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Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...

Paul Scerri, David V. Pynadath, Milind Tambe

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Id	Views	Title	Status

1	309	Adjustable autonomy in real-world multi-agent environments	claim
2	265	Tears and fears: modeling emotions and emotional behaviors in synthetic agents	claim
3	259	ATTac-2000: an adaptive autonomous bidding agent	claim
4	258	Using rat navigation models to learn orientation from visual input on a mobile robot	claim
5	257	CMPack: a complete software system for autonomous legged soccer robots	claim
6	247	Hierarchical multi-agent reinforcement learning	claim
7	246	A multi-agent system for automated genomic annotation	claim
8	246	A stable and efficient buyer coalition formation scheme for e-marketplaces	claim
9	244	Argumentation as distributed constraint satisfaction: applications and results	claim
10	244	Matchmaking for autonomous agents in electronic marketplaces	claim
11	243	Configuration management for multi-agent systems	claim
12	241	Social role awareness in animated agents	claim
13	241	Automated negotiation from declarative contract descriptions	claim
14	236	A fuzzy model of reputation in multi-agent systems	claim
15	236	Agents teaching agents to share meaning	claim
16	234	A reinforcement learning model of selective visual attention	claim
17	233	RAJA: a resource-adaptive Java agent infrastructure	claim
18	230	Every agent a web server, every agent community an intranet..	claim
19	229	An assistive robotic agent for pedestrian mobility	claim
20	229	Hierarchical agent control: a framework for defining agent behavior	claim
21	227	Entropy and self-organization in multi-agent systems	claim
22	226	Representing social structures in UML	claim
23	225	Architectural design of a multi-agent system for handling metadata streams	claim
24	221	A knowledge level software engineering methodology for agent oriented programming	claim
25	219	A social reinforcement learning agent	claim
26	218	Is the wolf angry or ... just hungry?	claim
27	218	Building agents for service provisioning out of components	claim
28	217	A framework for the simulation of agents with emotions	claim
29	217	Intelligent agents for an artificial market system	claim
30	217	Matchmaking among minimal agents without a facilitator	claim
31	216	Learning structured reactive navigation plans from executing MDP navigation policies	claim
32	216	Towards a definition of robustness for market-style open multi-agent systems	claim
33	215	Coaching a simulated soccer team by opponent model recognition	claim
34	213	Terrain coverage with ant robots: a simulation study	claim
35	212	Interaction without commitments: an initial approach	claim
36	212	A reflexive, not impulsive agent	claim
37	212	Implementing soft real-time agent control	claim
38	211	It knows what you're going to do: adding anticipation to a Quakebot	claim
39	211	AgentSalon: facilitating face-to-face knowledge exchange through conversations among personal agents	claim
40	210	An architecture for action selection in robotic soccer	claim
41	209	HPTS: a behaviour modelling language for autonomous agents	claim
42	209	Evaluation of modeling techniques for agent-based systems	claim
43	208	Specifying agent behavior as concurrent tasks	claim
44	208	Improving the agent-oriented modeling process by roles	claim
45	208	A shopper's assistant	claim
46	208	Using self-diagnosis to adapt organizational structures	claim
47	208	Distributed sensor network for real time tracking	claim
48	208	Monitoring deployed agent teams	claim
49	208	REGRET: reputation in gregarious societies	claim
50	207	Scheduling multi-task multi-agent systems	claim
51	206	Vicious strategies for Vickrey auctions	claim
52	206	A system for multi-agent coordination in uncertain environments	claim
53	205	Dynamic scheduling of a fixed bandwidth communications channel for controlling multiple robots	claim
54	204	How communication can improve the performance of multi-agent systems	claim
55	204	Incremental clustering for profile maintenance in information gathering web agents	claim
56	203	A formal framework for inter-agent dialogues	claim
57	202	Designing and executing protocols using the event calculus	claim
58	201	Teaching a robot how to read symbols	claim
59	201	Using background knowledge to speed reinforcement learning in physical agents	claim
60	200	Wasp nests for self-configurable factories	claim
61	199	Probabilistic pricebots	claim
62	199	An auction-based method for decentralized train scheduling	claim
63	198	Principles of intention reconsideration	claim
64	191	Exploring decision processes in multi-agent automated contracting	claim
65	191	Mobile agents for monitoring distributed systems	claim
66	191	Collaborative multiagent learning for classification tasks	claim
67	190	Economic dynamics of agents in multiple auctions	claim
68	189	PHOSPHORUS: a task-based agent matchmaker	claim
69	188	Reasoning about commitments and penalties for coordination between autonomous agents	claim
70	188	The intelligent classroom: providing competent assistance	claim
71	188	Toward the holodeck: integrating graphics, sound, character and story	claim
72	183	Communication decisions in multi-agent cooperation: model and experiments	claim
73	181	Incremental reinforcement learning for designing multi-agent systems	claim
74	178	Trust-based facilitator for e-partnerships	claim
75	177	Automatically tracking and analyzing the behavior of live insect colonies	claim
76	162	Some thoughts on agent trust and delegation	claim

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