Top Research Papers on AI Agents

The real foundation of all sociality (cooperation, competition, groups, organisation, etc.) is the individual social action and mind, and cognition, communication and agreement are not enough for modelling and implementing cooperation: emergent pre-cognitive structures and constraints should be formalised, and emergent forms of cooperation are needed also among planning and deliberative agents.

This research effort sought to explore options to improve upon the wargaming framework infrastructure and to investigate opportunities to improve artificial intelligence (AI) agent behavior.

The intuitive application of the respondeat superior doctrine provides the AI industry with a much-needed underlying liability regime which will enable it to continue to evolve in the years to come, and its victim to receive remedy once accidents occur.

This book is about artificial intelligence, a field built on centuries of thought, which has been a recognized discipline for over 60 years and can help understand current and future work in AI and equip you to contribute to the discipline yourself.

The purpose here is to introduce a few of the basic ideas behind AI, and to try and offer a means by which people can come to grips with the current state of the art in the field.

This essay concludes that until a Strong AI application can be demonstrated, the issue of legal agency of electronic agents ought not to detain the development of technology and of the law in this space.

This chapter presents the current state-of-the-art in the field of intelligent agents, focusing on the role of AI planning techniques.

This paper deals with the intersection of AI and virtual worlds, focusing on AI agents and exploring the potential implications toward the human-level AI.

This paper suggests an idea to build such an intelligent agent that attempts to take the right decision in the new environment and shows the simulation of intelligent agent to avoid obstacle in new environment.

This paper focuses on AI agents along with exploring the progress towards super intelligent AI and the roles played by artificial intelligence and virtual worlds in its development.

This paper reviews the current state of the art in the research concerning the development of autonomous artificial intelligent agents and focuses, in particular, on the importance of autonomous embodied agents as support for genuine artificial intelligence.

A behaviours production system capable of reproducing a high number of properties of adaptive behaviour and of exhibiting emergent lower cognition and a simple model for social action is presented, obtaining emergent complex social processes from simple interactions of imitation and induction of behaviours in agents.

A rule-based market-maker, built in with multiple objectives, including maintaining a fair and orderly market, maximizing profit and minimizing inventory risk, is constructed and tested on historical transaction data and an adaptive market-makers is modeled in the framework of reinforcement learning.

This thesis aims to incorporate insights from theories of explainability and the nature of explanation to build explainable models and interfaces that can provide better and sufficient explanations to the interacting human.

This paper provides a comprehensive guide to assessing agent performance by examining key metrics such as accuracy, response time, and user satisfaction, and discussing practical methods for evaluation.

The prototype visualizations developed to support the use case of a mission planner and an AI agent trainer include training results charts, heat map visualizations of agent paths, weight matrix visualizations, and ablation testing graphs.

The creation and potential of virtual characters in elementary classrooms, combined with biometrics and facial emotional recognition, which in this study has impacted student learning and offered support to the teacher.

An AI Agent framework named SOP-GPT is proposed which has integrated the concept of Standard Operating Procedures (SOP) from human workflow into AI Agents and the quality of generation was enhanced to meet the expectations of human work requirements.

It is extremely unlikely that true AGI can be developed in the current algorithmic framework of AI research, and discussions about the proper development and deployment of algorithmic tools should be shaped around the dangers and opportunities of current narrow AI, not the extremely unlikely prospect of the emergence of true agency in artificial systems.

ThePolycraft World AI Lab (PAL), a task simulator with an API based on the Minecraft mod Polycraft World, is presented, a versatile and extensible AI evaluation platform with a low barrier to entry for AI researchers to utilize.

It is suggested that preparedness for a future dominated by AI is essential, as generative AI technologies have the potential to profoundly impact teaching and learning methods, and necessitate new ways of thinking.

The possibility of widening producers’ or users’ strict liability for actions by artificial agents even when they are not fully predictable and that of extending the status of legal actor to some of these artificial agents so as to attribute the damaging fact directly to them are put in relation.

This perspective paper discusses the development of a personal AI agent, focusing on its architecture and requirements, and exemplifies how such an AI agent could work to assist researchers in materials sciences.

The results showed that the elements of the artificial intelligence avatar consist of four elements: 1) Nonverbal, 2) Verbal, 3) Appearance characteristics, and 4) Machine Learning.

Artificial Intelligence (AI) technology can be found nearly everywhere, however, developing and controlling this technology is generally limited to large companies or those with extensive training in computer science.

The book balances theory and experiment, showing how to link them intimately together, and develops the science of AI together with its engineering applications, to encapsulate the latest results without being exhaustive and encyclopedic.

This is an interdisciplinary project that draws on the domains of humour theory, creativity theory, creative writing, and human-computer interaction theory to illuminate the practice of comedy scriptwriting process in a new-media environment.

This book provides the first accessible synthesis of the foundations of the field aimed at undergraduate and graduate students, in terms of a multidimensional design space that has been partially explored.

The results show that the proposed behavioural representation has better performance in extracting IA's situational awareness compared to the baseline method, which is significant to enhance human comprehension on IA so their trust in IA can be calibrated.

The connection with Wirth's book goes beyond the title, albeit confining the area to modern Artificial Intelligence, and results of recent research are abridged and commented upon in line with new paradigms.

A taxonomy and some functional criteria that can be used to assess the level of consciousness of an artificial intelligent agent are proposed and a list of measurable levels of artificial consciousness, ConsScale, is defined as a tool to determine the potential level of conscience of an agent.

This paper examines the ability of agents to learn bidding strategies by using artificially intelligent agents who learn adaptively, and suggests several new hypotheses about bidding behavior, and about the various auction institutions.

The work presented here addresses the problem of inadequate application of AI techniques in current animation research and proposes the cognitive architecture FreeWill, which further extends its underlying principles and combines software agent solutions with typical animation elements.

The emphasis on learning, adaptation and flexibility common to many definitions implies that the environment is not fully known to the agent, so intelligence is the ability to deal with a wide range of possibilities, not just a few specific situations.

The emphasis on learning, adaptation and flexibility common to many definitions implies that the environment is not fully known to the agent, so intelligence is the ability to deal with a wide range of possibilities, not just a few specific situations.

A DAI Taxonomy, based on the social abilities of an individual agent, the organization of agents, and the dynamics of this organization through time is presented, which involves improving the performance or increasing the knowledge of a single agent by implementing concept of Multi agent into it.

The Artificial Intelligent Dialogue Agent (AIDA), a dialogue management and orchestration platform under development at the Institute for Infocomm Research, integrates different human-computer interaction engines across multiple domains and communication styles such as command, question answering, task- oriented dialogue and chat-oriented dialogue.

It is argued that it is both timely and conceivable for Canadian libraries to consider adopting conversational agents to enhance – not replace – face‐to‐face human interaction.

This thesis introduces procedurally generated new data to test VQA agents and other visual Al models on using Spatial IQ Generative Dataset (SIQGD) and 3D models along with a Blender3D extension.

This paper proposes Architecture of chatbot system designed for college purpose, which students and teachers can access and use chatbot system anywhere and anytime to get required information.

The integrated analysis of the intelligence as of the morality is proposed, considered as systems with internal structure, which anticipates a movement from the ethics of the virtue to a virtual ethics.

An agent- based artificial market system whose underlying interaction protocols provide advanced features that builds on a personalization of agents that permanently “live” in the market representing their actors' interests.

This chapter presents the current state-of-the-art in the field of intelligent agents, focusing on the role of AI planning techniques, and presents different AI planning methodologies implemented in intelligent agents applications.

A simulation of artificial life with a colony of intelligent individuals (agents) by using a combination of neural networks, genetic algorithms, and ant colony optimization presents a good basis for further development and adding more complex agent behaviours.

An exper-iment is presented which supports Anthropomorphic forms, since they provide a great degree of subtlety and afford social interaction but may be problematic since they maybe inherently interpretted as having a high degree of agency and intelligence.

Whether from the perspective of Scots law intelligent software agents are in fact legally agents and what their role and impact is in a legal and contractual sense is considered.

A way to develop a class of AI systems, the Disruptive Interjector, which observe what a human is doing, then interject with suggestions that aid in idea generation or problem solving in a human-AI (H-AI) team; something that goes beyond current creativity support systems.

The boundary conditions for the moral disengagement effect of AI agents are identified, finding that this effect is attenuated among consumers with high moral identity, with human-like AI agents, and in the context of high behavioral visibility.

This paper provides a comprehensive review of the latest advancements in AI-driven tool wear recognition and explores the integration of AI agents in manufacturing, highlighting the LLMS and the various types of AI agents that enhance AI's autonomous capabilities.

The different applications of artificial Intelligence in library systems such as Expert system, intelligent technologies etc and their application to the libraries have been discussed in the paper.