Amazon reportedly has Pinkerton agents surveil workers who try to form unions
Points: 809 | Comments: 445 | Author: pdkl95
FineState-Bench: A Comprehensive Benchmark for Fine-Grained State Control in GUI Agents
With the rapid advancement of generative artificial intelligence technology, Graphical User Interface (GUI) agents have demonstrated tremendous potential for autonomously managing daily tasks through natural language instructions. However, current ev...
Informational Design of Dynamic Multi-Agent System
This work considers a novel information design problem and studies how the craft of payoff-relevant environmental signals solely can influence the behaviors of intelligent agents. The agents' strategic interactions are captured by a Markov game, in w...
On the Equilibrium Elicitation of Markov Games Through Information Design
This work considers a novel information design problem and studies how the craft of payoff-relevant environmental signals solely can influence the behaviors of intelligent agents. The agents' strategic interactions are captured by an incomplete-infor...
Few-Shot Teamwork
We propose the novel few-shot teamwork (FST) problem, where skilled agents trained in a team to complete one task are combined with skilled agents from different tasks, and together must learn to adapt to an unseen but related task. We discuss how th...
Anticipating User Needs: Insights from Design Fiction on Conversational Agents for Computa…
Computational thinking, and by extension, computer programming, is notoriously challenging to learn. Conversational agents and generative artificial intelligence (genAI) have the potential to facilitate this learning process by offering personalized...
SAPIEN: Affective Virtual Agents Powered by Large Language Models
In this demo paper, we introduce SAPIEN, a platform for high-fidelity virtual agents driven by large language models that can hold open domain conversations with users in 13 different languages, and display emotions through facial expressions and voi...
Artificial social influence via human-embodied AI agent interaction in immersive virtual r…
Interactions with artificial intelligence (AI) based agents can positively influence human behavior and judgment. However, studies to date focus on text-based conversational agents (CA) with limited embodiment, restricting our understanding of how so...
Artificial Wrestling: A Dynamical Formulation of Autonomous Agents Fighting in a Coupled I…
We develop autonomous agents fighting with each other, inspired by human wrestling. For this purpose, we propose a coupled inverted pendula (CIP) framework in which: 1) tips of two inverted pendulums are linked by a connection rod, 2) each pendulum i...
Screening with Disadvantaged Agents
Motivated by school admissions, this paper studies screening in a population with both advantaged and disadvantaged agents. A school is interested in admitting the most skilled students, but relies on imperfect test scores that reflect both skill and...
I gave Claude these 4 MCPs and now he's my HEAD OF MARKETING
## I see most people on this subreddit chasing the shiny object: **AI Agents**. But the truth is AI Agents are shit. They fail to follow simple rules. And worst of all, you have to handle memory whic...
Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport
While speech-enabled teachable agents have some advantages over typing-based ones, they are vulnerable to errors stemming from misrecognition by automatic speech recognition (ASR). These errors may propagate, resulting in unexpected changes in the fl...
The Role of Confidence for Trust-based Resilient Consensus (Extended Version)
We consider a multi-agent system where agents aim to achieve a consensus despite interactions with malicious agents that communicate misleading information. Physical channels supporting communication in cyberphysical systems offer attractive opportun...
PARADISE: A Framework for Evaluating Spoken Dialogue Agents
This paper presents PARADISE (PARAdigm for DIalogue System Evaluation), a general framework for evaluating spoken dialogue agents. The framework decouples task requirements from an agent's dialogue behaviors, supports comparisons among dialogue str...
Darwinian Adverse Selection
We develop a model to study the role of rationality in economics and biology. The model's agents differ continuously in their ability to make rational choices. The agents' objective is to ensure their individual survival over time or, equivalently, t...
Mojo Mortgage or independent Estate Agents broker?
As I was viewing properties, estate agents always offered a meeting with their independent brokers. I met thre different brokers like that. They all offered more or less the same service and fees £69...
Evaluating Quality of Chatbots and Intelligent Conversational Agents
Chatbots are one class of intelligent, conversational software agents activated by natural language input (which can be in the form of text, voice, or both). They provide conversational output in response, and if commanded, can sometimes also execute...
Program Actions as Actual Causes: A Building Block for Accountability
Protocols for tasks such as authentication, electronic voting, and secure multiparty computation ensure desirable security properties if agents follow their prescribed programs. However, if some agents deviate from their prescribed programs and a sec...
The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete
According to Yuval Noah Harari, large-scale human cooperation is driven by shared narratives that encode common beliefs and values. This study explores whether such narratives can similarly nudge LLM agents toward collaboration. We use a finitely rep...
SHADE-Arena: Evaluating Sabotage and Monitoring in LLM Agents
As Large Language Models (LLMs) are increasingly deployed as autonomous agents in complex and long horizon settings, it is critical to evaluate their ability to sabotage users by pursuing hidden objectives. We study the ability of frontier LLMs to ev...