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#CognitiveAI

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Happy birthday to Cognitive Design for Artificial Minds (lnkd.in/gZtzwDn3) that was released 4 years ago!

Since then its ideas have been presented and discussed widely in the research fields of AI/Cognitive Science/Robotics and - nowadays - both the possibilities and the limitations of: #LLMs, #GenerativeAI and #ReinforcementLearning (already envisioned and discussed in the book) have become a common topic of research interests in the AI community and beyond.
Similarly also the topic concerning the evaluation - in human-like and human-level terms - of the current AI systems has become a critical theme related to the problem Anthropomorphic interpretation of AI output (see e.g. lnkd.in/dVi9Qf_k ).
Book reviews have been published on ACM Computing Reviews (2021) lnkd.in/dWQpJdkV and on Argumenta (2023): lnkd.in/derH3VKN

I have been invited to present the content of the book in over 20 official scientific events in international conferences, Ph.D Schools in US, China, Japan, Finland, Germany, Sweden, France, Brazil, Poland, Austria and, of course, Italy.

A news I am happy to share is that Routledge/Taylor & Francis contacted me few weeks ago for a second edition! Stay tuned!

The #book is available in many webstores:
- Routledge: lnkd.in/dPrC26p
- Taylor & Francis: lnkd.in/dprVF2w
- Amazon: lnkd.in/dC8rEzPi

@academicchatter @cognition
#AI #minimalcognitivegrid #CognitiveAI #cognitivescience #cognitivesystems

Ready for Institute 2024: the Schloss Dagstuhl School on Artificial and Human Intelligence starting tomorrow! Glad and honored to be invited here along with lecturers of the caliber of Barbara #Tversky, Thomas Eiter, Clayton Lewis, Alessandra Russo and many others.

School: lnkd.in/dPetJmsN
Program: lnkd.in/dsid4_TX

#AI #generativeAI #cognitiveAI #Cognitivesystems #cognitivescience #cogsci #ArtificialIntelligence

@academicchatter @cognition

Tomorrow I'll deliver my ACM Distinguished Lecture "The Cognitive Paradigm in the Artificial Intelligence Research", sponsored by @ACM, @ IJCLR 2023, 3rd International Joint Conference on Learning & Reasoning (IJCLR) held in Bari: ijclr2023.di.uniba.it/~ijclr20

The lecture focuses on the themes & topics of my book "Cognitive Design for Artificial Minds": routledge.com/9781138207950

My available ACM Distinguished Lectures: speakers.acm.org/speakers/liet

@academicchatter
@cognition

Glad and honored that my #book "Cognitive Design for Artificial Minds" (Routledge, 2021: routledge.com/Cognitive-Design) has been mentioned in this post by Bosch Research Global
bosch.com/stories/large-langua entitled "Large language models — enabling high-level machine reasoning", as a reference for building human-level AIs by means of design approaches targeting human-like mechanisms (and coupling both biological and cognitive modelling constraints)

#AI #cognitiveAI #LLM

@academicchatter @cognition

Glad and honored that my #book "Cognitive Design for Artificial Minds" (Routledge, 2021: routledge.com/Cognitive-Design) has been mentioned in this post by Bosch Research Global
bosch.com/stories/large-langua entitled "Large language models — enabling high-level machine reasoning", as a reference for building human-level AIs by means of design approaches targeting human-like mechanisms (and coupling both biological and cognitive modelling constraints)

#AI #cognitiveAI #LLM

@academicchatter @cognition

Cool new work linking #cognitive science and #AI

Investigating #Compositional and #Semantic #Understanding in Video Retrieval #Models

by Avinash Madasu and Vasudev Lal

arxiv.org/abs/2306.16533

@cogsci #NeuroAI #CognitiveAI #ML #compositionality #cogsci #cog

arXiv.orgICSVR: Investigating Compositional and Semantic Understanding in Video Retrieval ModelsVideo retrieval (VR) involves retrieving the ground truth video from the video database given a text caption or vice-versa. The two important components of compositionality: objects \& attributes and actions are joined using correct semantics to form a proper text query. These components (objects \& attributes, actions and semantics) each play an important role to help distinguish among videos and retrieve the correct ground truth video. However, it is unclear what is the effect of these components on the video retrieval performance. We therefore, conduct a systematic study to evaluate the compositional and semantic understanding of video retrieval models on standard benchmarks such as MSRVTT, MSVD and DIDEMO. The study is performed on two categories of video retrieval models: (i) which are pre-trained on video-text pairs and fine-tuned on downstream video retrieval datasets (Eg. Frozen-in-Time, Violet, MCQ etc.) (ii) which adapt pre-trained image-text representations like CLIP for video retrieval (Eg. CLIP4Clip, XCLIP, CLIP2Video etc.). Our experiments reveal that actions and semantics play a minor role compared to objects \& attributes in video understanding. Moreover, video retrieval models that use pre-trained image-text representations (CLIP) have better semantic and compositional understanding as compared to models pre-trained on video-text data.

AIC 2023: 9th International Workshop on Artificial Intelligence and Cognition

University of Bremen, Germany,14-15 September 2023

Abstract Submission: 16 June, 2023

Paper Submission: June 30th, 2023

Website: ease-crc.org/aic-2023/

AIC 2023 is the 9th international appointment of the Internat. Workshop Series on #ArtificialIntelligence and #Cognition aicworkshopseries.org/

@academicchatter @cognition @acm_creativitycognition

arXiv.orgSparks of Artificial General Intelligence: Early experiments with GPT-4Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The latest model developed by OpenAI, GPT-4, was trained using an unprecedented scale of compute and data. In this paper, we report on our investigation of an early version of GPT-4, when it was still in active development by OpenAI. We contend that (this early version of) GPT-4 is part of a new cohort of LLMs (along with ChatGPT and Google's PaLM for example) that exhibit more general intelligence than previous AI models. We discuss the rising capabilities and implications of these models. We demonstrate that, beyond its mastery of language, GPT-4 can solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psychology and more, without needing any special prompting. Moreover, in all of these tasks, GPT-4's performance is strikingly close to human-level performance, and often vastly surpasses prior models such as ChatGPT. Given the breadth and depth of GPT-4's capabilities, we believe that it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system. In our exploration of GPT-4, we put special emphasis on discovering its limitations, and we discuss the challenges ahead for advancing towards deeper and more comprehensive versions of AGI, including the possible need for pursuing a new paradigm that moves beyond next-word prediction. We conclude with reflections on societal influences of the recent technological leap and future research directions.

💻 Webinar hosted by Universidade Federal de Sao Paulo (Brazil) | ➡ about my book "Cognitive Design for Artificial Minds" (Routledge, 2021) amazon.com/dp/1138207950/, which explains the crucial role that human cognition research plays in the design and development of artificial intelligence systems.
📌 Save the date:
📅 TUE, APRIL 4, 2023
⏰ 6:00pm (CET) / 14h00 (Brazilian time)

▶️ Access:
Unifesp Live Channel on Youtube Transmission: bit.ly/webinarLieto

No, ChatGPT...If you don't know the answer you should not reply with false information.

P.S. If you want to know what the "Minimal Cognitive Grid" is (and who proposed it: my self!) you can check the #book Cognitive Design for Artificial Minds: amazon.com/Cognitive-Design-Ar

Best wishes,

- Antonio

#disinformationgenerator #minimalcognitivegrid #stochasticparrots #chatpgt #languagemodels #AI #cognitiveAI @gpt #gpt3 #cognitivedesignforartificialminds

Hi everyone! Time for an #introduction: My name is Lucas Bechberger and I'm currently finishing my PhD on #cognitiveAI at the Institute of #CognitiveScience in Osnabrück (already submitted the dissertation, now waiting for the reviews).

My research lies at the intersection of #ArtificialIntelligence, #MachineLearning, and #Psychology. I focus on representing and learning #concepts, using Gärdenfors' framework of #ConceptualSpaces. To find out more, check out my website: lucas-bechberger.de

lucas-bechberger.deLucas Bechberger's Website – Everything about my research on Conceptual Spaces.

According to Perplexity AI, a new search interface that uses OpenAI #GPT 3.5 and Microsoft Bing, I won a #NobelPrize in Economics in 1983 (when I was born, link: perplexity.ai/?uuid=87677f47-c), a Nobel Prize in Physics in 2004 (link: perplexity.ai/?uuid=d9986bbc-a) and I have been President of Italy since 1962 Link: perplexity.ai/?uuid=e683d942-8!

#languagemodels #StochasticParrots #AI #CognitiveIlusions #AIHallucinations #CognitiveScience #cognitiveAI

Quick #introduction !

I am a PhD student in Computational #Neuroscience at #Cambridge University. I work on the connection of biological 🧠 and artificial 🤖 intelligence, building neuro-inspired RNNs from prefrontal cortex dynamics and circuit plasticity rules. I work with John Duncan and Matt Botvinick (#Deepmind).

At the moment I work at #Intel as a research intern to support their work on #CognitiveAI & #NeuroAI

More on: jachterberg.com/

#AI #machinelearning @cognition @neuro

Time for #Introduction on sigmoid.social - this is where my folks are!

I am an #AI #Systems scientist and build #IntelligentSystems that model, learn about, & collaborate with humans #HumanMachineCollaboration, #HCI.

I believe in #AIForGood - intelligent systems should support our communities in being healthy, resilient, and ever-learning.

I study #CognitiveAI - motivated by insights from #CognitiveScience, #BehavioralEconomics, #Psychology. Basically, OG #AI.

I also dabble in #ML, #DL.