I remember reading about two different types of goals for an intelligence. The gist was that the first type of goal is one that "just is" - it's an end goal for the system. There doesn't need to be any justification for wanting to achieve that goal,…
There is an idea that intentionality may be a requirement of true intelligence, here defined as human intelligence.
But all I know for certain is that we have the appearance of free will. Under the assumption that the universe is purely…
I'm interested in developing a RL application for a robotic arm in a virtual environment.
But I stuck at the question, whether:
The observation space should contain the target position + the actual position + the joint values of the robotic arm.…
I encountered the following problem as part of a quiz:
Imagine you are designing a digit recognition agent and you want to analyze the state space of this problem. Given a binary image of 28 x 28 grid of pixels where a 1 represents black color and a…
A recent question on AI and acting recalled me to the idea that in drama, there are not only conflicting motives between agents (characters), but a character may themselves have objectives that are in conflict.
The result of this in performance is…
Hello, I was reflecting about what implications might building a strong AI have and I came across some ideas which I find disturbing, I'd love to have some external thought on that :
1) If we ever managed to create an AI say nearly as smart as a…
Let's take the LunarLander environment from the package Gym as an example.
In this case, one can run thousand of episodes until the agent learns a good policy. However, there is a condition: the goal region doesn't move anywhere. In every episode…
In AIMA, performance measure is defined as something evaluating the behavior of the agent in an environment.
Rational agents are defined as agents acting so as to maximize the expected value of the performance measure, given the percept sequence…
From the perspective of the type of AI Agents, I would like to discuss Prim's Minimum Spanning Tree algorithm and Dijkstra's Algorithm.
Both are model-based agents and both are "greedy algorithms".
Both have their memory to store the history of…
To be able to explain my question I thought it is probably better to consider the following example: Let's take an environment, where a bridge crane need to lift a barrel from the position "start" and move it to the position "goal" moving along the…
UCBerkley has a great Intro to AI course (CS188) where you can practice coding up search algorithms. One of the exercises (question 6), asks to generate a heuristic that will have Pacman find all 4 corners of the grid.
My implementation used a…