CARMA: A Case-Based Rangeland Management Adviser
نویسندگان
چکیده
CARMA is an advisory system for rangeland grasshopper infestations that demonstrates how AI technology can deliver expert advice to compensate for cutbacks in public services. CARMA uses two knowledge sources for the key task of predicting forage consumption by grasshoppers: (1) cases obtained by asking a group of experts to solve representative hypothetical problems and (2) a numeric model of rangeland ecosystems. These knowledge sources are integrated through the technique of model-based adaptation, in which case-based reasoning is used to find an approximate solution, and the model is used to adapt this approximate solution into a more precise solution. CARMA has been used in Wyoming counties since 1996. The combination of a simple interface, flexible control strategy, and integration of multiple knowledge sources makes CARMA accessible to inexperienced users and capable of producing advice comparable to that produced by human experts. Moreover, because CARMA embodies diverse forms of expertise, it has been used in ways that its developers did not anticipate, including pest management research, development of industry strategies, and in-state and federal pest-management policy decisions.
منابع مشابه
Global and Case-Specific Model-based Adaptation
CARMA (CAse-based Range Management Adviser) is a system that integrates case-based reasoning with model-based reasoning for rangeland pest management. CARMA’s predictions of rangeland forage loss by grasshoppers were compared to predictions by 15 expert entomologists using either global or case-specific adaptation weights. Under both conditions, CARMA’s predictions were more accurate than CARMA...
متن کاملCARMA: A Case-Based Range Management Advisor
CARMA is an advisory system for rangeland grasshopper infestations that demonstrates how AI technology can deliver expert advice to compensate for cutbacks in public services. CARMA uses two knowledge sources for the key task of predicting forage consumption by grasshoppers: cases obtained by asking a group of experts to solve representative hypothetical problems; and a numerical model of range...
متن کاملAn Empirical Evaluation of Model-Based Case Matching and Adaptation
Rangeland ecosystems typify physical systems having an incomplete causal theory. This paper describes CARMA, a system for rangeland pest management advising that uses model-based matching and adaptation to integrate case-based reasoning with modelbased reasoning for prediction in rangeland ecosystems. An ablation study showed that removing any part of the CARMA’s model-based knowledge dramatica...
متن کاملA Multiple-Paradigm System for Rangeland Pest Management
Polycultural agroecosystems, such as rangelands, are too complex and poorly understood to permit precise numerical simulation. Management decisions that depend on behavioral predictions of such ecosystems therefore require a variety of knowledge sources and reasoning techniques. Our approach to designing a computer system that provides advice concerning such ecosystems is to incorporate various...
متن کاملGood CARMA for the High Plains
CARMA is a decision-support system for grasshopper infestations that has been successfully used since 1996. Rising treatment costs coupled with shrinking rangeland profit margins increasingly demand accurate selection of the most cost-effective responses to grasshopper infestations, and CARMA fills that need. In the process CARMA provides advice regarding grasshopper population management optio...
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ورودعنوان ژورنال:
- AI Magazine
دوره 23 شماره
صفحات -
تاریخ انتشار 2002