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

1 years 9 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	88	Adjustable autonomy in real-world multi-agent environments	claim
2	85	Configuration management for multi-agent systems	claim
3	85	ATTac-2000: an adaptive autonomous bidding agent	claim
4	82	Hierarchical agent control: a framework for defining agent behavior	claim
5	81	It knows what you're going to do: adding anticipation to a Quakebot	claim
6	81	A reinforcement learning model of selective visual attention	claim
7	80	Entropy and self-organization in multi-agent systems	claim
8	79	A framework for the simulation of agents with emotions	claim
9	78	A stable and efficient buyer coalition formation scheme for e-marketplaces	claim
10	78	Interaction without commitments: an initial approach	claim
11	77	A formal framework for inter-agent dialogues	claim
12	77	Every agent a web server, every agent community an intranet..	claim
13	77	RAJA: a resource-adaptive Java agent infrastructure	claim
14	76	Incremental clustering for profile maintenance in information gathering web agents	claim
15	76	Teaching a robot how to read symbols	claim
16	76	Representing social structures in UML	claim
17	73	Toward the holodeck: integrating graphics, sound, character and story	claim
18	73	Coaching a simulated soccer team by opponent model recognition	claim
19	72	Distributed sensor network for real time tracking	claim
20	72	An architecture for action selection in robotic soccer	claim
21	71	Monitoring deployed agent teams	claim
22	71	Economic dynamics of agents in multiple auctions	claim
23	71	A fuzzy model of reputation in multi-agent systems	claim
24	70	A multi-agent system for automated genomic annotation	claim
25	70	Social role awareness in animated agents	claim
26	70	Automated negotiation from declarative contract descriptions	claim
27	70	Scheduling multi-task multi-agent systems	claim
28	69	A shopper's assistant	claim
29	69	Tears and fears: modeling emotions and emotional behaviors in synthetic agents	claim
30	69	A reflexive, not impulsive agent	claim
31	68	Using rat navigation models to learn orientation from visual input on a mobile robot	claim
32	68	Reasoning about commitments and penalties for coordination between autonomous agents	claim
33	68	How communication can improve the performance of multi-agent systems	claim
34	68	Hierarchical multi-agent reinforcement learning	claim
35	68	Towards a definition of robustness for market-style open multi-agent systems	claim
36	67	HPTS: a behaviour modelling language for autonomous agents	claim
37	67	Mobile agents for monitoring distributed systems	claim
38	67	Matchmaking for autonomous agents in electronic marketplaces	claim
39	66	Collaborative multiagent learning for classification tasks	claim
40	66	Architectural design of a multi-agent system for handling metadata streams	claim
41	66	Terrain coverage with ant robots: a simulation study	claim
42	66	Dynamic scheduling of a fixed bandwidth communications channel for controlling multiple robots	claim
43	66	Designing and executing protocols using the event calculus	claim
44	66	Implementing soft real-time agent control	claim
45	66	Communication decisions in multi-agent cooperation: model and experiments	claim
46	65	Learning structured reactive navigation plans from executing MDP navigation policies	claim
47	65	PHOSPHORUS: a task-based agent matchmaker	claim
48	65	Probabilistic pricebots	claim
49	65	REGRET: reputation in gregarious societies	claim
50	65	Evaluation of modeling techniques for agent-based systems	claim
51	64	Wasp nests for self-configurable factories	claim
52	64	A knowledge level software engineering methodology for agent oriented programming	claim
53	64	Agents teaching agents to share meaning	claim
54	63	Matchmaking among minimal agents without a facilitator	claim
55	62	Incremental reinforcement learning for designing multi-agent systems	claim
56	61	The intelligent classroom: providing competent assistance	claim
57	61	Using self-diagnosis to adapt organizational structures	claim
58	61	A social reinforcement learning agent	claim
59	61	Argumentation as distributed constraint satisfaction: applications and results	claim
60	61	A system for multi-agent coordination in uncertain environments	claim
61	61	An auction-based method for decentralized train scheduling	claim
62	61	AgentSalon: facilitating face-to-face knowledge exchange through conversations among personal agents	claim
63	60	Improving the agent-oriented modeling process by roles	claim
64	60	Principles of intention reconsideration	claim
65	59	Specifying agent behavior as concurrent tasks	claim
66	59	Trust-based facilitator for e-partnerships	claim
67	59	Building agents for service provisioning out of components	claim
68	59	An assistive robotic agent for pedestrian mobility	claim
69	58	Automatically tracking and analyzing the behavior of live insect colonies	claim
70	58	Using background knowledge to speed reinforcement learning in physical agents	claim
71	56	Vicious strategies for Vickrey auctions	claim
72	56	CMPack: a complete software system for autonomous legged soccer robots	claim
73	52	Exploring decision processes in multi-agent automated contracting	claim
74	50	Intelligent agents for an artificial market system	claim
75	48	Some thoughts on agent trust and delegation	claim
76	48	Is the wolf angry or ... just hungry?	claim

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