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Titlebook: Agents and Artificial Intelligence; 12th International C Ana Paula Rocha,Luc Steels,Jaap van den Herik Conference proceedings 2021 Springer

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發(fā)表于 2025-3-30 11:51:10 | 只看該作者
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發(fā)表于 2025-3-30 13:41:57 | 只看該作者
Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Tradersd continuous double auction matching. In particular, we explore two effects: (i) . - the time taken for trading strategies to calculate a response to market events; and (ii) . - the sensitivity of trading strategies to approaching deadlines. Much of the literature on trading agents focuses on optimi
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發(fā)表于 2025-3-30 18:38:26 | 只看該作者
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發(fā)表于 2025-3-30 22:19:45 | 只看該作者
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發(fā)表于 2025-3-31 04:16:10 | 只看該作者
Cognitive Map Query Language for Temporal Domainsfluence systems. Each node represents a concept and each edge represents an influence..One limit of cognitive maps is that temporal features cannot be taken account in the model..This article proposes an extended model of cognitive map, called temporal cognitive maps, that includes temporal features
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發(fā)表于 2025-3-31 06:40:24 | 只看該作者
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發(fā)表于 2025-3-31 11:54:09 | 只看該作者
Heuristic Learning in Domain-Independent Planning: Theoretical Analysis and Experimental Evaluationed planning techniques exploit informed forward search guided by a heuristic which is used to estimate a distance from a state to a goal state..In this paper, we present a technique to automatically construct an efficient heuristic for a given domain. The proposed approach is based on training a dee
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發(fā)表于 2025-3-31 15:10:41 | 只看該作者
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發(fā)表于 2025-3-31 20:41:34 | 只看該作者
A Scalable and Automated Machine Learning Framework to Support Risk Managements paper presents an automated and scalable framework for ML that requires minimum human input. We designed the framework for the domain of telecommunications risk management. This domain often requires non-ML-experts to continuously update supervised learning models that are trained on huge amounts
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發(fā)表于 2025-3-31 23:22:17 | 只看該作者
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