近来在项目中为游戏做一些 AI 相关的工作,为了更好地把控游戏中的各种 AI 的设计实现,找到最适合项目实际的 AI 技术方案,对游戏开发中的各种 AI 技术方案(主要为各种决策方案,如 FSM、BT、Utility、GOAP、HTN 等)做了一些研究,现对这些方案进行一个系统的梳理和总结(包括它们的概念、流程原理机制、示例代码、优...
预测建模(Predictive Modeling):AI agent可以预测可能的结果或提出下一步的建议,比如机器人的下一步动作。 决策制定(Decision Making):AI agent在一些应用中可以根据所得出的推理进行决策。 处理歧义(Handling Ambiguity): AI agent通常通过基于上下文和训练数据推断最可能的解释来处理模糊的输入。 持续改进(Continuous I...
AI algorithms can help sharpen decision-making, make predictions in real time and save companies hours of time by automating key business workflows. They can bubble up new ideas and bring otherbusiness benefits-- but only if organizations understand how they work, know which type is best suited ...
XAI implements specific techniques and methods to ensure that each decision made during the ML process can be traced and explained. AI, on the other hand, often arrives at a result using an ML algorithm, but the architects of the AI systems do not fully understand how the algorithm reached ...
Artificial Intelligence refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, language writing and decision-making. AI systems aim to simulate human intelligence by analyz...
Devices and robots will gain better object detection, face and behavior recognition, and predictive decision-making. If this sounds to you like the underpinnings for general-purpose robots, you’re not alone. In coming years, innovators are looking to deploy this “inference at the edge” ...
研讨内容:由于强化学习是用来解决决策问题(decision-making),所以,如果该问题属于比较重要,例如机器人、生产制造、金融投资等,若此时出现错误,基于目前的深度强化学习方法,我们是无法对其找到合理的原因,并且比较难避免再次发生相似问题。研究者们目前正在着手研究如何让强化学习模型更加可信赖,更加可解释,讲起用于更加严肃...
Experience AI reasoning like never before. Watch as complex problems unfold step by step through our innovative Chain of Thought (CoT) visualization. This breakthrough feature provides unprecedented transparency into AI's decision-making process, allowing you to observe how conclusions are reached in ...
Deep learning is a subset of machine learning that uses multilayered neural networks, called deep neural networks, that more closely simulate the complex decision-making power of the human brain. Deep neural networks include an input layer, at least three but usually hundreds of hidden layers, an...
The introduction of ML decision-making introduces a risk that consumers may seek to ‘game the algorithm’, and banks must monitor for this new self-interested behaviour [62, 63]. More than previously, consumers can withhold information from financial institutions, and banks can obtain more data...