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ATAL
2006
Springer

326views Intelligent Agents» more ATAL 2006»

Modelling situations in intelligent agents

15 years 2 months ago

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John Thangarajah, Lin Padgham, Sebastian Sardi&nti...

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Id	Views	Title	Status

1	326	Modelling situations in intelligent agents	claim
2	248	Automated semantic web service discovery with OWLS-MX	claim
3	236	SeSAm: implementation of agent-based simulation using visual programming	claim
4	236	Coordination in Disaster Management and Response: A Unified Approach	claim
5	232	ActorNet: an actor platform for wireless sensor networks	claim
6	207	Action awareness: enabling agents to optimize, transform, and coordinate plans	claim
7	203	An argumentation based approach for practical reasoning	claim
8	192	A hierarchical approach to efficient reinforcement learning in deterministic domains	claim
9	191	A constraint optimization framework for fractured robot teams	claim
10	191	Mertacor: a successful autonomous trading agent	claim
11	190	ANEMONE: an effective minimal ontology negotiation environment	claim
12	189	Deploying a personalized time management agent	claim
13	189	A computer-supported cooperative learning system with multiagent intelligence	claim
14	187	Awareness as a vital ingredient of teamwork	claim
15	186	Multi-robot learning with particle swarm optimization	claim
16	185	An Agent-Based Approach for Range Image Segmentation	claim
17	183	Continuous refinement of agent resource estimates	claim
18	181	Agent-community based peer-to-peer information retrieval: an evaluation	claim
19	179	Camera-based observation of football games for analyzing multi-agent activities	claim
20	177	Multiagent simulation meets the real world	claim
21	177	Convergence analysis for collective vocabulary development	claim
22	177	Evaluating bidding strategies for simultaneous auctions	claim
23	176	CSC: Criticality-Sensitive Coordination	claim
24	175	Adaptive agent negotiation via argumentation	claim
25	174	On using multi-agent systems in playing board games	claim
26	174	Computational mechanism design for multi-sensor information fusion	claim
27	174	TacTex-05: An Adaptive Agent for TAC SCM	claim
28	171	Learning empathy: a data-driven framework for modeling empathetic companion agents	claim
29	170	Cognitive agents based simulation for decisions regarding human team composition	claim
30	168	Efficient agent-based cluster ensembles	claim
31	168	Accident or intention: that is the question (in the Noisy Iterated Prisoner's Dilemma)	claim
32	168	Exploring sensor networks using mobile agents	claim
33	168	The communication complexity of coalition formation among autonomous agents	claim
34	167	Towards a reference model for agent-based systems	claim
35	167	Hierarchical planning in BDI agent programming languages: a formal approach	claim
36	164	Autonomous agents for air-traffic deconfliction	claim
37	163	Belief revision for AgentSpeak agents	claim
38	163	A hotel information system implementation using MAS technology	claim
39	163	Gradient field-based task assignment in an AGV transportation system	claim
40	161	On the complexity of practical ATL model checking	claim
41	161	Goal-oriented modularity in agent programming	claim
42	160	A comparison between mechanisms for sequential compute resource auctions	claim
43	160	Agent interaction in distributed POMDPs and its implications on complexity	claim
44	160	An agent based general solution model for the course timetabling problem	claim
45	160	Selecting informative actions improves cooperative multiagent learning	claim
46	159	Multi-agent based peer-to-peer information retrieval systems with concurrent search sessions	claim
47	158	Automated analysis and verification of agent behavior	claim
48	158	A utility-based sensing and communication model for a glacial sensor network	claim
49	158	Agent-based modeling of human education data	claim
50	158	Multi-agent coordination and control testbed for planning and scheduling strategies	claim
51	157	Learning executable agent behaviors from observation	claim
52	157	Magenta technology multi-agent logistics i-Scheduler for road transportation	claim
53	157	A model of emotions for situated agents	claim
54	157	A stochastic language for modelling opponent agents	claim
55	157	Decentralized planning under uncertainty for teams of communicating agents	claim
56	156	Resource selection games with unknown number of players	claim
57	156	Competing sellers in online markets: reserve prices, shill bidding, and auction fees	claim
58	156	Complexity and succinctness of public announcement logic	claim
59	156	Adaptive Pricing for Customers with Probabilistic Valuations	claim
60	155	Model checking knowledge, strategies, and games in multi-agent systems	claim
61	155	A Market-Pressure-Based Performance Evaluator for TAC-SCM	claim
62	154	Verifying space and time requirements for resource-bounded agents	claim
63	154	No-commitment branch and bound search for distributed constraint optimization	claim
64	154	Designing a successful trading agent for supply chain management	claim
65	154	Comparing market and token-based coordination	claim
66	153	Adaptive distributed resource allocation and diagnostics using cooperative information-sharing strategies	claim
67	153	Integrating parallel interactions into cooperative search	claim
68	153	An adaptive plan-based dialogue agent: integrating learning into a BDI architecture	claim
69	153	Evolutionary Optimization of ZIP60: A Controlled Explosion in Hyperspace	claim
70	152	Run-time model checking of interaction and deontic models for multi-agent systems	claim
71	151	Multi-model motion tracking under multiple team member actuators	claim
72	151	ACTIVE: agile coordinator testbed integrated virtual environment	claim
73	150	Tractable negotiation in tree-structured domains	claim
74	150	Evolutionary Stability of Behavioural Types in the Continuous Double Auction	claim
75	149	Reasoning about action and cooperation	claim
76	148	Failures of the VCG mechanism in combinatorial auctions and exchanges	claim
77	148	Integrating agent-oriented methodologies with UML-AT	claim
78	148	How equitable is rational negotiation?	claim
79	148	RADIC: a generic component for the integration of existing reactive and deliberative layers	claim
80	147	On the logic of coalitional games	claim
81	147	Learning to cooperate in multi-agent social dilemmas	claim
82	147	Efficient agents for cliff-edge environments with a large set of decision options	claim
83	146	Strategic voting when aggregating partially ordered preferences	claim
84	144	Learnable behavioural model for autonomous virtual agents: low-level learning	claim
85	144	MDPOP: faithful distributed implementation of efficient social choice problems	claim
86	144	False-name-proof combinatorial auction protocol: Groves Mechanism with SubModular Approximation	claim
87	144	A Comparison of Sequential and Simultaneous Auctions	claim
88	143	Security in multiagent systems by policy randomization	claim
89	142	Multiply-constrained distributed constraint optimization	claim
90	142	Monotonic concession protocols for multilateral negotiation	claim
91	142	Probabilistic policy reuse in a reinforcement learning agent	claim
92	142	The complexity of model checking concurrent programs against CTLK specifications	claim
93	142	Automating supply chain negotiations using autonomous agents: a case study in transportation logistics	claim
94	141	A technique for reducing normal-form games to compute a Nash equilibrium	claim
95	141	Certified reputation: how an agent can trust a stranger	claim
96	141	A service-oriented language for programming mobile agents	claim
97	141	Towards formal model of adversarial action in multi-agent systems	claim
98	141	On the response of EMT-based control to interacting targets and models	claim
99	141	A context-aware approach for service selection using ontologies	claim
100	141	Robust Incentive-Compatible Feedback Payments	claim
101	140	Examining DCSP coordination tradeoffs	claim
102	140	Solving POMDPs using quadratically constrained linear programs	claim
103	140	Social coordination without communication in multi-agent territory exploration tasks	claim
104	140	Embodied mobile agents	claim
105	140	UAV airspace management system UAMS	claim
106	140	Can good learners always compensate for poor learners?	claim
107	139	Teaching new teammates	claim
108	139	A novel method for automatic strategy acquisition in N-player non-zero-sum games	claim
109	138	Reducing costly information acquisition in auctions	claim
110	138	Robust recognition of physical team behaviors using spatio-temporal models	claim
111	138	Learning a common language through an emergent interaction topology	claim
112	137	Temporal qualitative coalitional games	claim
113	137	Deriving axioms across ontologies	claim
114	137	Distributed navigation in an unknown physical environment	claim
115	137	Specifying and resolving preferences among agent interaction patterns	claim
116	137	Behaviosites: a novel paradigm for affecting distributed behavior	claim
117	137	The use of agents in human learning systems	claim
118	136	Resource allocation among agents with preferences induced by factored MDPs	claim
119	136	The cost of social agents	claim
120	135	History-based traffic control	claim
121	135	Learning the required number of agents for complex tasks	claim
122	134	Modelling the links between social commitments and individual intentions	claim
123	134	Robust mechanisms for information elicitation	claim
124	133	Auctioning transformable goods	claim
125	133	An ontology of social control tools	claim
126	133	Scalable and reliable data delivery in mobile ad hoc sensor networks	claim
127	132	Operationalisation of norms for usage in electronic institutions	claim
128	132	RPD-enabled agents teaming with humans for multi-context decision making	claim
129	132	Agent dependability as an architectural issue	claim
130	132	Junta distributions and the average-case complexity of manipulating elections	claim
131	132	Monopolizing markets by exploiting trust	claim
132	131	Learning the task allocation game	claim
133	131	Real time target evaluation search	claim
134	130	Predicting people's bidding behavior in negotiation	claim
135	130	TANDEM - a design method for integrating web services into multi-agent systems	claim
136	130	Synthetic humans in emergency response drills	claim
137	130	Toward an understanding of the impact of software personal assistants on human organizations	claim
138	130	Trust-based agent community for collaborative recommendation	claim
139	129	Ontology-guided learning to improve communication between groups of agents	claim
140	129	Symbolic negotiation revisited	claim
141	129	Forming efficient agent groups for completing complex tasks	claim
142	129	Study of social consciousness in stochastic agent based simulations: application to supply chains	claim
143	129	Congestion tolls as utility alignment between agent and system optimum	claim
144	128	Balancing the needs of players and spectators in agent-based commentary systems	claim
145	128	Information-theoretic approaches to branching in search	claim
146	128	Learning from induced changes in opponent (re)actions in multi-agent games	claim
147	128	Programming modular robots with the TOTA middleware	claim
148	128	Reducing price fluctuation in continuous double auctions through pricing policy and shout improvement	claim
149	128	Agent Compatibility and Coalition Formation: Investigating Two Interacting Negotiation Strategies	claim
150	127	Learning to commit in repeated games	claim
151	127	Modelling dynamics of cognitive agents by higher-order potentialities	claim
152	127	Component Agent Framework for domain-Experts (CAFnE) toolkit	claim
153	127	MLBP: MAS for large-scale biometric pattern recognition	claim
154	127	Learning against multiple opponents	claim
155	126	A decision-theoretic approach to file consistency in constrained peer-to-peer device networks	claim
156	125	Automating Deep Space Network scheduling and conflict resolution	claim
157	125	Web presentation system using RST events	claim
158	125	Synergistic integration of agent technologies for military simulation	claim
159	125	On Efficient Procedures for Multi-issue Negotiation	claim
160	124	Experimental analysis of privacy loss in DCOP algorithms	claim
161	124	Evaluating a computational model of social causality and responsibility	claim
162	124	Reinforcement learning for declarative optimization-based drama management	claim
163	123	SAgent: a security framework for JADE	claim
164	122	Modular BDI architecture	claim
165	121	Agent interface enhancement: making multiagent graphical models accessible	claim
166	120	Sequences of take-it-or-leave-it offers: near-optimal auctions without full valuation revelation	claim
167	120	Modeling agents and interactions in agricultural economics	claim
168	119	Goal types in agent programming	claim
169	119	Structural evaluation of agent organizations	claim
170	119	Efficient agent-based models for non-genomic evolution	claim
171	119	Extensive games with possibly unaware players	claim
172	119	Prototyping 3APL in the Maude term rewriting language	claim
173	119	Improving reinforcement learning with context detection	claim
174	119	On proactivity and maintenance goals	claim
175	118	Conflict negotiation among personal calendar agents	claim
176	118	Norm-oriented programming of electronic institutions	claim
177	118	Exact solutions of interactive POMDPs using behavioral equivalence	claim
178	118	Effect of deceptive referrals on system stability	claim
179	117	Software agents that learn through observation	claim
180	117	Performance evaluation of open-source multiagent platforms	claim
181	116	Modeling uncertain domains with polyagents	claim
182	115	Learning trust strategies in reputation exchange networks	claim
183	114	Performance analysis of untraceability protocols for mobile agents using an adaptable framework	claim
184	114	Negotiating efficient outcomes over multiple issues	claim
185	113	Formalizing typicality of objects and context-sensitivity in ontologies	claim
186	112	What agents can achieve under incomplete information	claim
187	112	Savings in Combinatorial Auctions Through Transformation Relationships	claim
188	112	Logics of propositional control	claim
189	111	Commercial applications of agents: lessons, experiences and challenges	claim
190	111	Distributed Lagrangean relaxation protocol for the generalized mutual assignment problem	claim
191	110	ReAgents: behavior-based remote agents and their performance	claim
192	109	Enhancing agent-oriented models with aspects	claim
193	109	On the relationship between MDPs and the BDI architecture	claim
194	108	Making a strong business case for multiagent technology	claim
195	108	Plan patterns for declarative goals in AgentSpeak	claim
196	107	Market Efficiency, Sales Competition, and the Bullwhip Effect in the TAC SCM Tournaments	claim
197	107	Winning back the CUP for distributed POMDPs: planning over continuous belief spaces	claim
198	106	Effect of joining decisions on peer clusters	claim
199	105	Using multiagent teams to improve the training of incident commanders	claim
200	105	Designing agent chips	claim
201	104	Knowing how to play: uniform choices in logics of agency	claim
202	104	Using CHI-scores to reward honest feedback from repeated interactions	claim
203	103	Rule value reinforcement learning for cognitive agents	claim
204	101	Trust and honour in information-based agency	claim
205	100	Learning to identify winning coalitions in the PAC model	claim
206	97	A Texas Hold'em poker player based on automated abstraction and real-time equilibrium computation	claim
207	96	Optimal decision-making with minimal waste: strategyproof redistribution of VCG payments	claim
208	95	A multi-agent system that facilitates scientific publications search	claim
209	95	Agents' Bidding Strategies in a Combinatorial Auction Controlled Grid Environment	claim
210	87	Instantiating the contingent bids model of truthful interdependent value auctions	claim

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