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1. |
APPLYING AGENT TECHNOLOGY |
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Applied Artificial Intelligence,
Volume 9,
Issue 4,
1995,
Page 357-369
NICHOLASR. JENNINGS,
MICHAEL WOOLDRIDGE,
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PDF (457KB)
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ISSN:0883-9514
DOI:10.1080/08839519508945480
出版商:Taylor & Francis Group
年代:1995
数据来源: Taylor
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2. |
COOPERATIVE SEISMIC DATA INTERPRETATION FOR NUCLEAR TEST BAN TREATY VERIFICATION |
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Applied Artificial Intelligence,
Volume 9,
Issue 4,
1995,
Page 371-400
CINDYL MASON,
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PDF (993KB)
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摘要:
This paper describes the cooperative interpretation of data from a global network of seismic stations in the context of nuclear test ban treaty verification. The problem, as solved by humans, involves the cooperation of a community of seismologists and the intellectual mechanism of assumption-based reasoning. Our computational agents cooperate by exchanging partial results that act as clues or heuristics about what assumptions to make and where to apply computationally expensive signal-processing algorithms, thus improving the quality of the global solution.
ISSN:0883-9514
DOI:10.1080/08839519508945481
出版商:Taylor & Francis Group
年代:1995
数据来源: Taylor
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3. |
AGENT-BASED APPROACH TO HEALTH CARE MANAGEMENT |
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Applied Artificial Intelligence,
Volume 9,
Issue 4,
1995,
Page 401-420
JUN HUANG,
N. R. JENNINGS,
JOHN FOX,
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PDF (676KB)
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摘要:
The provision ofmedical care typically involves a number ofindividuals. located in a number ofdifferent institutions. whose decisions and actions need to be coordinated if the care is to be effective and efficient. Tofacilitate this decision making and to ensure the coordination process runs smoothly, the use ofsoftware support is becoming increasingly widespread. To this end. this paper describes an agent-based system that was developed to help manage the care process in real-world settings. The agents themselves are implemented using a layered architecture called AADCare, which combines a number ofAl and agent techniques: a symbolic decision procedure for decision making with incomplete and conflicting information. a concept of accountability for task allocation, the notions ofcommitments and conventions for managing coherent cooperation, and a set ofcommunication primitives for interagent interaction. The utility ofthis approach is demonstrated through the development ofan application prototypefor the clinical process ofcancer treatment.
ISSN:0883-9514
DOI:10.1080/08839519508945482
出版商:Taylor & Francis Group
年代:1995
数据来源: Taylor
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4. |
ON THE ROLE OF BDI MODELING FOR INTEGRATED CONTROL AND COORDINATED BEHAVIOR IN AUTONOMOUS AGENTS |
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Applied Artificial Intelligence,
Volume 9,
Issue 4,
1995,
Page 421-447
INNESA. FERGUSON,
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PDF (1309KB)
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摘要:
This paper describes an architecture for controlling and coordinating autonomous agents, building on previous work addressing reactive and deliberative control methods. The proposed multilayered hybrid architecture allows a rationally bounded, goal-directed agent to reason predictively about potential conflicts by constructing knowledge level models that explain other agents' observed behaviors and hypothesize their beliefs, desires, and intentions; at the same time, it enables the agent to operate autonomously, to react promptly to changes in its real-time environment, and to coordinate its actions effectively with other agents. A principal aim of this research is to understand the role dzfferent functional capabilities play in constraining an agent5 behavior under varying environmental conditions. To this end, an experimental test bed has been constructed comprising a simulated multi-agent world in which a variety of agent configurations and behaviors have been investigated. A number of experimentalfindings are reported.
ISSN:0883-9514
DOI:10.1080/08839519508945483
出版商:Taylor & Francis Group
年代:1995
数据来源: Taylor
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