ALLEY 发表于 2025-3-28 18:22:38

Location of Bases for Prehospital Servicesleep hygiene. This paper introduces the preliminary results of an ongoing study and two types of deceptions within the framework of nudging: self-deception by cognitive biases and deception by non-transparency.

厌恶 发表于 2025-3-28 19:53:03

Kamini,Shalli Rani,Ali Kashif Bashirure as well as behaviors for the deceiving team (the shills and lead agent). These behaviors were implemented and simulations were run for a variety of conditions. The results show how shills can facilitate misdirection in certain circumstances. They provide insights into enhancing multi-robot team deception.

verdict 发表于 2025-3-29 01:14:00

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ethnology 发表于 2025-3-29 05:40:43

Wolves in Sheep’s Clothing: Using Shill Agents to Misdirect Multi-robot Teamsure as well as behaviors for the deceiving team (the shills and lead agent). These behaviors were implemented and simulations were run for a variety of conditions. The results show how shills can facilitate misdirection in certain circumstances. They provide insights into enhancing multi-robot team deception.

肉身 发表于 2025-3-29 08:03:39

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垄断 发表于 2025-3-29 11:34:04

The Role of Environments in Affording Deceptive Behaviour: Some Preliminary Insights from Stage Magiceptive agents but also the nature of the environments in which they act. To illustrate this approach, we report work-in-progress to design a game called ., played between a software agent and a human opponent, that is informed by the principles of stage magic to embed deceptive possibilities into i

muster 发表于 2025-3-29 17:33:56

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阻止 发表于 2025-3-29 20:27:42

Wolves in Sheep’s Clothing: Using Shill Agents to Misdirect Multi-robot Teamsetition), they are at risk for being deceived by competitors. Competitors can misdirect the team to gain a positional advantage. Our lab is exploring ways in which teams of robots can be misdirected, in part, so counter-deception strategies can be devised. This paper explores how robot shills can be

我悲伤 发表于 2025-3-30 01:55:06

Learning to Deceive in Multi-agent Hidden Role Gamesto simplistic settings, restricting their applicability to complex real-world problems. This paper addresses this by introducing a new mixed competitive-cooperative multi-agent reinforcement learning (MARL) environment, inspired by popular role-based deception games such as Werewolf, Avalon, and Amo

浮夸 发表于 2025-3-30 04:20:21

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查看完整版本: Titlebook: Deceptive AI; First International Stefan Sarkadi,Benjamin Wright,Peter McBurney Conference proceedings 2021 Springer Nature Switzerland AG