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> it takes parameters (environment) I think it's better to imagine agent as something that physically placed inside the Environment, and actually modifying/cha
by nivertech 2y ago
> it takes parameters (environment)
I think it's better to imagine agent as something that physically placed inside the Environment, and actually modifying/changing/mutating it in place.
> An email filter is an agent. A database trigger is an agent.
you're missing the "I" (Intelligence) part - the filtering logic in the email filter, or a business logic in the DB trigger/stored procedure/CGI script/AWS Lambda function/etc.
But yes, an agent doesn't have to be Intelligent, it can be a Dumb Agent / NPC / Zero-Intelligence Trader.
- sureglymop 2y agoCan you explain the "intelligence" part? Can't one derive a decision tree of any "intelligent agent" that is in essence no different than a classically programmed algorithm?
- FollowingTheDao 2y agoJust replying here to tell you I replied to a question (cisco) you asked me in case you miss it. Thanks!
- nivertech 2y agoYes, for Computational Agents you will either code "Agent Intelligence"/"Agent Cognition" algorithmically, or using AI/ML/LLM (either by pre-training, or using continous re-training for Adaptive Agents). Useful abstaractions: - FSM/State Machines - Behavior Trees - Behavior Action Trees - Workflow Orchestration - Dataflow (mostly for pipelines transforming LLM Prompt into LLM Reponse) Another option is to outsource it to a Human, like it was in the ALICE program[1], e.g. Human-in-the-Loop, Participatory Simulation, RLHF, Whole-brain computer simulation, like in The Age of Em[2] (SciFi). See: https://news.ycombinator.com/item?id=43409240 https://news.ycombinator.com/item?id=43409240 --- 1. https://www.media.mit.edu/projects/participatory-simulations/overview/ https://www.media.mit.edu/projects/participatory-simulations... https://ccl.northwestern.edu/papers/partsims/cscl/ https://ccl.northwestern.edu/papers/partsims/cscl/ 2. https://ageofem.com/ https://ageofem.com/