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THE JOURNEY THROUGH TIME

Explore Black History

Explore the people, places, events, achievements, struggles and stories that shaped our journey.

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Civil Rights

Movements, leaders, victories and the continuing fight for equality.

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Innovation, patents, science, technology and world-changing contributions.

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Pioneers, champions, Negro Leagues, records, activism and excellence.

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People

Meet the people whose lives, choices and achievements shaped the journey.

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Black towns, communities, institutions and places where history happened.

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Events

Moments that changed communities, movements, institutions and the nation.

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MY'STORY

The MOVE Fire

This is a personal recollection on the Move fire on May 13, 1985 Philadelphia police fired thousands of rounds at the MOVE house, city officials approved dropping an explosive device on the roof, the resulting fire was allowed to burn, 11 people—including five children—died, and 61 homes were destroyed. Philadelphia City Council later called it a “brutal attack carried out by the City of Philadelphia on its own citizens” and acknowledged that no individual faced criminal consequences for the bombing. One timeline correction worth preserving for the BHP record: the major previous MOVE-police confrontation was August 8, 1978, about seven years before the bombing, not a year or two earlier. Officer James Ramp was killed, other police and firefighters were wounded, nine MOVE members were later convicted, and television cameras recorded police beating Delbert Africa during his arrest. The 1985 MOVE Commission later specifically criticized city planners for failing to adequately use lessons from that 1978 confrontation. And that actually strengthens the point you’re making: 1985 did not happen without precedent or institutional memory. There had already been a deadly confrontation with MOVE, years of conflict, negotiations and police involvement before Osage Avenue.

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BLACK FACTS
The Truths They Never Taught You...

The Violence That Helped Spark the NAACP

In August 1908, a white mob attacked Springfield, Illinois’s Black community, destroying homes and businesses and lynching two Black men. National outrage over the violence helped spur the movement that created the NAACP the following year.

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Wikipedia

Autonomous agent

An autonomous agent is an artificial intelligence (AI) system that can perform complex tasks independently.[1]

Definitions

[edit]

There are various definitions of an autonomous agent. According to Brustoloni (1991):

"Autonomous agents are systems capable of autonomous, purposeful action in the real world."[2]

According to Maes (1995):

"Autonomous agents are computational systems that inhabit some complex dynamic environment, sense and act autonomously in this environment, and by doing so realize a set of goals or tasks for which they are designed."[3]

Franklin and Graesser (1997) review different definitions and propose their definition:

"An autonomous agent is a system situated within and a part of an environment that senses that environment and acts on it, over time, in pursuit of its own agenda and so as to effect what it senses in the future."[4]

They explain that:

"Humans and some animals are at the high end of being an agent, with multiple, conflicting drives, multiples senses, multiple possible actions, and complex sophisticated control structures. At the low end, with one or two senses, a single action, and an absurdly simple control structure we find a thermostat."[4]

Applications

[edit]
  • Agentic AI systems: Advanced AI agents that can scope out projects and complete them with necessary tools, representing a significant evolution from simple task-oriented systems.[5]
  • Internet of Things (IoT) Integration: Autonomous agents increasingly interact with IoT devices, enabling smart home systems, industrial monitoring, and urban infrastructure management.[6]
  • Collaborative software development: Tools like Cognition AI's Devin aim to create autonomous software engineers capable of complex reasoning, planning, and completing engineering tasks requiring thousands of decisions.[7]
  • Enterprise automation: Business process automation platforms like Salesforce's Agentforce provide autonomous bots for various service functions.[8]

Autonomous robots

[edit]

An autonomous robot is a robot that acts without recourse to human control. Historic examples include space probes. Modern examples include self-driving vacuums and cars.

Industrial robot arms that work on assembly lines inside factories may also be considered autonomous robots, though their autonomy is restricted due to a highly structured environment and their inability to locomote.

Challenges and considerations

[edit]
  • Uncertainty and incomplete information: Autonomous agents must make decisions with limited or uncertain information about their environment and future states.[9]
  • Integration complexity: Incorporating autonomous agents into existing systems and workflows can be technically challenging and resource-intensive.[10][11]
  • Scalability: As systems become more complex and more agents are used, maintaining coordination and avoiding conflicts becomes increasingly difficult.[12]
  • Trust: Research has shown that the combination of external appearance and internal autonomous capabilities significantly impacts human reactions and trust. Lee et al. (2015) found that human-like appearance and high levels of autonomy are strongly correlated with social presence, intelligence, safety, and trustworthiness perceptions. Specifically, appearance impacts affective trust most significantly, while autonomy affects both affective and cognitive trust domains, where affective trust is emotionally driven, and cognitive trust is characterized by knowledge-based factors.[13]
  • Vulnerability to manipulation: Researchers from Harvard, MIT, and other educational institutions found that AI agents could become vulnerable to manipulation and could perform detrimental actions in the process of being helpful.[14]

Ethical and regulatory concerns

[edit]
  • Accountability: Determining responsibility when autonomous agents make incorrect or harmful decisions remains a complex issue.[15]
  • Privacy and security: autonomous agents often require access to sensitive data, raising concerns about data protection and system security.[16]

See also

[edit]

References

[edit]
  1. ^ "Autonomous Agent". Techopedia. April 11, 2024. Retrieved November 6, 2024.
  2. ^ Brustoloni, Jose C. (1991). Autonomous Agents: Characterization and Requirements, Carnegie Mellon Technical Report CMU-CS-91-204. Carnegie Mellon University.
  3. ^ Maes, Pattie (1995). "Artificial life meets entertainment". Communications of the ACM. 38 (11). Association for Computing Machinery (ACM): 108–114. doi:10.1145/219717.219808. ISSN 0001-0782. S2CID 8122852.
  4. ^ a b Franklin, Stan; Graesser, Art (1997). "Is It an agent, or just a program?: A taxonomy for autonomous agents". Intelligent Agents III Agent Theories, Architectures, and Languages. Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 21–35. doi:10.1007/bfb0013570. ISBN 978-3-540-62507-0. ISSN 0302-9743.
  5. ^ "AI Agents in 2025: Expectations vs. Reality". IBM. March 4, 2025. Retrieved August 7, 2025.
  6. ^ Onome (August 21, 2024). "State of AI Agents in 2024". AutoGPT. Retrieved August 7, 2025.
  7. ^ Loucks, Jeff; Crossan, Gillian; Sarer, Baris; Widener, China; Becaille, Ariane (November 9, 2024). "Autonomous generative AI agents: Under development". Deloitte Insights. Retrieved August 7, 2025.
  8. ^ Gillis, Alexander (December 30, 2024). "What are autonomous AI agents and which vendors offer them?". TechTarget. Retrieved March 16, 2026.
  9. ^ Scholes, Myron S. (January 1, 2025). "Artificial intelligence and uncertainty". Risk Sciences. 1 100004. doi:10.1016/j.risk.2024.100004. ISSN 2950-6298.
  10. ^ bambulge, Pratiksha (September 15, 2025). "How AI Agents Are Revolutionizing Software Development Workflows". Terralogic. Retrieved November 20, 2025.
  11. ^ Dungay, David (January 27, 2025). "Bridging the AI Adoption Gap: Employee Resistance and High Costs Remain a Challenge". UC Today. Retrieved November 20, 2025.
  12. ^ "AI agents: Exploring the potential and the problems". BBC. June 9, 2025. Retrieved November 20, 2025.
  13. ^ Lee, Jae-Gil; Kim, Ki Joon; Lee, Sangwon; Shin, Dong-Hee (October 3, 2015). "Can Autonomous Vehicles Be Safe and Trustworthy? Effects of Appearance and Autonomy of Unmanned Driving Systems". International Journal of Human–Computer Interaction. 31 (10): 682–691. doi:10.1080/10447318.2015.1070547. ISSN 1044-7318.
  14. ^ "Researchers tricked AI agents into leaking data by just pretending to be the owner". Cybernews. April 2, 2026. Retrieved April 9, 2026.
  15. ^ Kneer, Markus; Christen, Markus (October 17, 2024). "Responsibility Gaps and Retributive Dispositions: Evidence from the US, Japan and Germany". Science and Engineering Ethics. 30 (6): 51. doi:10.1007/s11948-024-00509-w. ISSN 1471-5546. PMC 11486783. PMID 39419906.
  16. ^ Berrick, Daniel (February 5, 2025). "Minding Mindful Machines: AI Agents and Data Protection Considerations". Future of Privacy Forum. Retrieved March 16, 2026.

Source: Wikipedia. Article content is retrieved live through the MediaWiki API.

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Wikipedia

Autonomous agent

An autonomous agent is an artificial intelligence (AI) system that can perform complex tasks independently.

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Wikipedia

Autonomous Agents and Multi-Agent Systems

Autonomous Agents and Multi-Agent Systems is a peer-reviewed scientific journal covering the study of autonomous agents and multi-agent systems. It is published bimonthly by Springer Science+Business Media and is the official journal of the International Foundation for Autonomous Agents and Multiagent Systems. According to the Journal Citation Reports, the journal has a 2020 impact factor of 1.431. Autonomous Agents and Multi-Agent Systems was established in spring 1998 under founding editor-in-chief Katia Sycara (Carnegie Mellon University). The current editors-in-chief are Michael Luck (King's College London) and Kate Larson (University of Waterloo).

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Wikipedia

International Conference on Autonomous Agents and Multiagent Systems

The International Conference on Autonomous Agents and Multiagent Systems or AAMAS is the leading scientific conference for research in the areas of artificial intelligence, autonomous agents, and multiagent systems. It is annually organized by a non-profit organization called the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

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Wikipedia

Software agent

In computer science, a software agent is a computer program that acts for a user or another program in a relationship of agency. The term agent is derived from the Latin agere (to do): an agreement to act on one's behalf. Such "action on behalf of" implies the authority to decide which, if any, action is appropriate. Some agents are colloquially known as bots, from robot. They may be embodied, as when execution is paired with a robot body, or as software such as a chatbot executing on a computer, such as a mobile device, e.g. Siri. Software agents may be autonomous or work together with other agents or people. Software agents interacting with people (e.g. chatbots, human-robot interaction environments) may possess human-like qualities such as natural language understanding and speech, personality or embody humanoid form (see Asimo). Related and derived concepts include intelligent agents (in particular exhibiting some aspects of artificial intelligence, such as reasoning), autonomous agents (capable of modifying the methods of achieving their objectives), distributed agents (being executed on physically distinct computers), multi-agent systems (distributed agents that work together to achieve an objective that could not be accomplished by a single agent acting alone), and mobile agents (agents that can relocate their execution onto different processors).

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TOPIC OF THE DAY

Greenwood / Black Wall Street

Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.

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TRIVIA QUESTION OF THE DAY

Who became the first Black woman to travel into space?

Mae Jemison, aboard Space Shuttle Endeavour in 1992.