Impressive. How does it (Agent based AI) differs from Intelligent system?

Agentic AI is at the forefront of technological innovation, enhancing efficiency and capability across a wide range of internet applications, from virtual assistants and customer service chatbots to complex data analysis tools and autonomous systems. Agentic artificial intelligence refers to AI systems that exhibit autonomy and decision-making capabilities, allowing them to operate independently in various contexts. AI can perform tasks without constant human supervision. They can make decisions based on the data available and defined objectives. Many applications leverage advanced NLP capabilities, enabling these systems to engage in meaningful conversations, interpret user intent, and generate human-like responses. As agentic AI systems become more integrated into societal functions, developers Dariusz Prokopowicz are increasingly focused on addressing ethical concerns, such as bias mitigation, transparency in decision-making, and ensuring fairness.

Dear Dariusz Prokopowicz,

Your insights into agent-based AI are indeed thought-provoking. As you highlighted, these systems can independently perceive their environment, make decisions, and act to achieve specific goals. This autonomy allows them to adapt to changing conditions without direct human intervention.

Regarding the labor market, the integration of AI presents both challenges and opportunities. While there's concern about job displacement, studies indicate that many firms plan to retrain staff to work alongside AI, suggesting a trend towards augmentation rather than replacement.

It's important to approach AI development thoughtfully, ensuring that these technologies complement human skills and contribute positively to the workforce.

Dear Researchers, Scientists, Friends,

The presented research questions precisely focus on the key characteristics of agent-based artificial intelligence, which is indeed experiencing dynamic development and finding increasingly broad applications in various internet applications. The text accurately identifies autonomy, the ability to make decisions and act in response to changing conditions, interaction with the environment, independent data processing, and striving to achieve goals without direct human supervision as fundamental characteristics of this technology. However, it is worth expanding this analysis to examine aspects such as the level of complexity of emergent behaviors of agents in multi-agent systems, the ethical implications of autonomous decisions made by AI agents, methods for ensuring their transparency and accountability, as well as the possibilities of integrating AI agents with other artificial intelligence paradigms, such as deep learning or neural networks. An interesting direction for future research could also be to investigate the impact of personalization and contextuality on the effectiveness of AI agents and to develop metrics for evaluating their intelligence and adaptability in dynamic environments. I sincerely thank all researchers and scientists for their past contributions to understanding this promising field and, with an open mind, invite further scientific collaboration and continuation of the discussion on the future and potential of agent-based artificial intelligence.

Best regards,

Dariusz Prokopowicz