artificial intelligence – Multiagent random behavior

In Artificial intelligence: a modern approach Edition 3, page 43, in Single vs. The last line of the multi-agent section, says the writer,

In some competitive environments, random behavior is rational.
because he avoids predictability traps.

Can anyone help me understand this line? Especially what do you mean by predictability traps ?

node.js: how to fix error 13 INTERNAL when requesting video transcription to the Google Video Intelligence API?

I am using the Video Intelligence API to create a transcript for an mp4 video file.

I am loading it into a cube and then I send the gs: // uri to the API, but I receive an error:

(node:23945) UnhandledPromiseRejectionWarning: Error: 13 INTERNAL: 
at Object.callErrorFromStatus (/Users/heitorfig/Desenvolvimento/a11yado-2/node_modules/@grpc/grpc-js/build/src/call.js:30:26)
at Http2CallStream. (/Users/heitorfig/Desenvolvimento/a11yado-2/node_modules/@grpc/grpc-js/build/src/client.js:96:33)
at Http2CallStream.emit (events.js:208:15)
at /Users/heitorfig/Desenvolvimento/a11yado-2/node_modules/@grpc/grpc-js/build/src/call-stream.js:75:22
at processTicksAndRejections (internal/process/task_queues.js:75:11
(node:23945) UnhandledPromiseRejectionWarning: Unhandled promise rejection. This error originated either by throwing inside of an async function without a catch block, or by rejecting a promise which was not handled with .catch(). (rejection id: 1)
(node:23945) (DEP0018) DeprecationWarning: Unhandled promise rejections are deprecated. In the future, promise rejections that are not handled will terminate the Node.js process with a non-zero exit code.

This is the script I am using to send the video:

const request = {
          inputUri: 'gs://' + c.bucket + '/' + c.name,
          features: ('SPEECH_TRANSCRIPTION'),
          videoContext: videoContext,
        };

        const (operation) = await client.annotateVideo(request);
        console.log('Waiting for operation to complete...');
        const (operationResult) = await operation.promise();
        console.log('Word level information:');
        const alternative =
            operationResult.annotationResults(0).speechTranscriptions(0)
                .alternatives(0);
        alternative.words.forEach(wordInfo => {
          const start_time =
              wordInfo.startTime.seconds + wordInfo.startTime.nanos * 1e-9;
          const end_time = wordInfo.endTime.seconds + wordInfo.endTime.nanos * 1e-9;
          console.log('t' + start_time + 's - ' + end_time + 's: ' + wordInfo.word);
        });
        console.log('Transcription: ' + alternative.transcript);

artificial intelligence – Sensorless version of the erratic vacuum world

Consider the sensorless version of the erratic world of vacuum. Draw the belief – state {1,2,3,4,5,6,7,8} and It explains why the problem has no solution.

I can't understand why this problem has no solution.

We can reach the everything clean right state? So why doesn't it have a solution?

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Security – Street intelligence for "dangerous cities" in the United States (Detroit, Gary, …)

The term "street intelligence" is often used when talking about cities that are notorious for criminal acrivism, but how can I really be "smart in the street" when leaving a safe area (for example, in the center)?

Suggestions I have found:

  • Be attentive to your surroundings / Do not stick to your phone
  • Don't have a camera hanging on your neck
  • Do not go to poorly lit areas (at night)

Artificial intelligence: Conv1D backprop gradients cannot be calculated correctly

I am a beginner trying to understand backward propagation for Conv1D. I am implementing it and comparing my gradients with pytorch gradients. However, the backprop step seems to be wrong. I have published the full implemented class.

class Conv1D:
    def __init__(self, input_channel, output_channel, kernel_size, stride):
        self.input_channel = input_channel
        self.output_channel = output_channel
        self.kernel_size = kernel_size
        self.stride = stride
        self.W = np.random.normal(0, 1, (output_channel, input_channel, kernel_size))
        self.b = np.random.normal(0, 1, (output_channel))
        self.dW = np.zeros(shape=self.W.shape)
        self.db = np.zeros(shape=self.b.shape)
        self.dx = np.zeros(shape=self.b.shape)
        self.input = np.array(())

    def forward(self, x):
        output_width = int(np.floor(len(x(0)(0))-self.kernel_size)/self.stride) + 1
        y = np.zeros(shape=(len(x), self.output_channel, output_width))
        self.input = np.copy(x)
        for i in range(len(x)):
            for j in range(self.output_channel):
                k_ = 0
                for k in range(output_width):
                    input_piece = x(i, :, k_:k_+self.kernel_size)
                    y(i)(j)(k) = np.sum(np.multiply(input_piece, self.W(j))) + self.b(j)
                    k_ += self.stride
        return y

    def backward(self, dl):
        output_width = int(np.floor(len(dl(0)(0))-self.kernel_size)/self.stride) + 1
        self.dW = np.zeros(shape=self.W.shape)
        self.db = np.zeros(shape=self.b.shape)
        self.dx = np.zeros(shape=self.input.shape)
        for i in range(len(dl)):
            for j in range(self.output_channel):
                k_ = 0
                for k in range(output_width):
                    input_piece = self.input(i)(:, k_:k_+self.kernel_size)
                    self.dx(i)(:, k_:k_+self.kernel_size) += dl(i)(j)(k) * self.W(j)
                    self.dW(j) += dl(i)(j)(k) * input_piece
                    self.db(j) += dl(i)(j)(k) 
                    k_ += self.stride
        return self.dx



    def __call__(self, x):
        return self.forward(x)

I would really appreciate it if someone could find my mistake.

dnd 5e – How do I interpret a character with greater wisdom than me and less intelligence?

I have seen some similar questions related to intelligence, charisma and a general disparity in mental statistics, but there is still nothing in Wis alto, Int low.

Let's start with the premise:

Intelligence measures mental acuity, memory accuracy and
ability to reason (phb. 177)

Wisdom reflect how tuned you are with the world
around you and represents perception and intuition (phb.178)

Then, a wise character will realize things that a normal person could not, such as identifying the warning signs that something just does not feel right in a specific situation.

Now I don't have this ability, and most DMs struggle to give enough clues or even create a world where warning signs are something that can be detected.

A character with less intelligence would not know many facts, would not learn from the books and would not quickly join 2 to 2 when faced with a situation.

Then you stay with a character that can detect all kinds of warning signs that enter a situation, but do not necessarily know what they mean.

What are some strategies to help interpret such a character? Especially in a situation where every word that says a DM is probably taken as important by everyone at the table, so it will not stand out specifically for the person who plays the character in question.

One source of inspiration has been Caduceus in Critical Role, but that seems to be the real player who takes things in order to make wise comments, and I just don't take the same things in real life.

Note: If important, the particular character in question has 6 INT and currently 16 WIS.

[GET] David Snyder – CPI Covert Persuasion Intelligence

[IMG]

Turing Machines, Robots and General Artificial Intelligence [on hold]

Are Turing machines the only process and / or method to create true artificial intelligence?

Artificial intelligence: can a virus be transmitted to artificial intelligence systems through image / video?

Scenario: AI advanced until we used it on spaceships to see what's out there. Then, the AI ​​system would have to process any images they see of the stars or videos if we add them in time.

On our PC, a JPEG file may contain viruses, but we must click on it for the virus to act. For AI, the click seems to be predetermined, yes, or is basically blind.

If there is a hyper advanced AI out there that wants to spread viruses to another possible AI to destroy or assimilate them, could they be sending light signals that can become viruses if they are processed by our image processing AI?

dnd 5e: Can an Evocation Assistant who throws the desire to double Chaos Bolt add his intelligence modifier to the damage?

The Evocation Assistant obtains the enhanced Evocation function that states:

From the tenth level, you can add your Intelligence modifier to a damage roll of any magic evocation spell you cast.

the wish state:

The basic use of this spell is to duplicate any other spell of level 8 or lower. You do not need to meet any requirements in that spell, including expensive components. The spell simply has an effect …

Notably, Enhanced Evocation only applies when you cast wizard spells but ray of chaos The spell is exclusive to a sorcerer.

And there are features like the Arcane Cleric Magic Initiative that says:

When you choose this domain in the 1st level, you gain proficiency in the Arcane ability and you get two cantrips of your choice from the wizard spell list. For you, these cantrips count as clergy cantrips.

who explicitly say that spells that are not normally considered part of your class now are. However the wish spell has no such clause.

To avoid a discussion about whether you even cast spells duplicated by wish I would like the answers to assume that Duplicate a spell using wish Tell how to cast the duplicate spell.
What I'm still not sure is if an assistant duplicates a spell with wish Does that spell now count as a wizard spell?