Armağan Amcalar PRO
Armagan is the founder of Coyotiv GmbH, and is currently on a mission to bring a scalable and nimble engineering culture to startups and enterprises. Armagan is a public speaker, a mentor and a lecturer.
A path to AGI
Autonomous, collaborative multi-agents
Armağan Amcalar
Diva Conference
July 13, 2024
WHO AM I?
AUTHORED ON GITHUB
Built with AI
How do Humans learn?
How did we evolve society?
Where does Machine Learning come from?
Glad you asked!
dashersw
AGI isn't a monumental leap.
AGI is an emergent property.
dashersw
Large Language Models aren't AGI.
dashersw
They are a complex statistical model for predicting the next word after a given series of words.
dashersw
Let's take a step back.
dashersw
Intelligence
dashersw
Ability to learn, adapt, reason, solve problems, plan and comprehend complex ideas.
perception, abstraction, logic, understanding, learning, memory, critical thinking,
and problem-solving
Intelligence
dashersw
Adaptation to Environment
Reasoning and Problem-Solving
Learning and Memory
Skilled Use of Knowledge
ARTIFICIAL GENERAL INTELLIGENCE
dashersw
AI that can understand, learn, and apply knowledge across a wide range of tasks
AUTONOMOUS
dashersw
Acting independently or without human intervention
AGENT
dashersw
An entity that perceives its environment, makes decisions, and takes actions
COLLABORATION
dashersw
Multiple entities working together to achieve a common goal
multi-agent systems
dashersw
Operate independently
Interact with their environment
Communicate and cooperate with other agents
Learn and adapt based on their experiences
imitate intelligence with next-token prediction
dashersw
CAN YOU OR HOW DO YOU
HOW DOES ONE
CATCH A BALL?
dashersw
Visual Processing
Occipital lobe processes visual information.
Movement Planning
Parietal lobe and premotor cortex plan movement.
Execution of Movement
Primary motor cortex sends signals to muscles.
Coordination and Balance
Cerebellum ensures smooth movement.
Sensory Feedback
Somatosensory cortex adjusts grip.
https://training.seer.cancer.gov/module_anatomy/unit5_3_nerve_org1_cns.html
vectorized by Jkwchui, CC BY-SA 3.0, via Wikimedia Commons
If the human brain’s
distributed structure can yield general intelligence,
why can’t a sufficiently advanced multi-agent system
achieve the same?
dashersw
EMERGENCE,
Emergent Behavior and Complex Systems
dashersw
Atoms form molecules, molecules form cells,
cells form organisms
each level exhibits new, emergent properties.
dashersw
dashersw
dashersw
If emergent properties in nature can lead to life and consciousness, couldn’t the emergent behaviors of MULTI-AGENT SYSTEMS lead to AGI?
GESTALT
The whole is greater than the sum of its parts
dashersw
GESTALT
individual agents working together can achieve far more than they could separately.
coordinated actions lead to emergent behavior and intelligence.
dashersw
Technically speaking...
dashersw
We are scraping the surface of GPT-4 or Claude 3.5 Sonnet
dashersw
We need to understand and develop what reasoning means.
dashersw
Memory, insights, habits
dashersw
specialization
dashersw
what if questions
dashersw
what if English isn't the best language to prompt these agents?
dashersw
How do Humans learn?
How did we evolve society?
Where does Machine Learning come from?
dashersw
THANK YOU!
Armağan Amcalar
dashersw
A path to AGI: autonomous, collaborative multi-agent systems
By Armağan Amcalar
A path to AGI: autonomous, collaborative multi-agent systems
In this talk, Armağan Amcalar addresses the transformative journey toward Artificial General Intelligence (AGI) through autonomous, collaborative multi-agent systems. Drawing from his extensive experience in developing and applying these systems, Armağan will explore how independent agents can work together, learn from each other, and adapt to complex environments to achieve common goals. Participants will gain insights into the latest developments, challenges faced, and future directions in this dynamic field, understanding how collaborative multi-agent systems pave the way for the next generation of intelligent machines. Join us to explore the potential and complexities of these systems in the pursuit of AGI.
