Herbert A. Simon
(36 articles)
Task Environment
Setting or context within which an intelligent agent operates and attempts to achieve its objectives.
Generality: 760
Knowledge Representation
Method by which AI systems formalize and utilize the knowledge necessary to solve complex tasks.
Generality: 890
Symbolic Computing
A paradigm in AI that uses symbolic representations of problems and logic-based reasoning to perform computational tasks and solve complex problems.
Generality: 795
Human-Level AI
AI systems that can perform any intellectual task with the same proficiency as a human being.
Generality: 945
Symbolic AI
Also known as Good Old-Fashioned AI (GOFAI), involves the manipulation of symbols to represent problems and compute solutions through rules.
Generality: 830
AGI
Artificial General Intelligence
Artificial General Intelligence
AI capable of understanding, learning, and applying knowledge across a wide range of tasks, matching or surpassing human intelligence.
Generality: 905
GPS
General Problem Solver
General Problem Solver
Early AI program designed to simulate human problem-solving processes through a heuristic-based approach.
Generality: 810
Heuristic Search Techniques
Methods used in AI to find solutions or make decisions more efficiently by using rules of thumb or informed guesses to guide the search process.
Generality: 878
Autonomous Agents
Systems capable of independent action in dynamic, unpredictable environments to achieve designated objectives.
Generality: 875
Memory Systems
Mechanisms and structures designed to store, manage, and recall information, enabling machines to learn from past experiences and perform complex tasks.
Generality: 790
Internal Representation
The way information is structured and stored within an AI system, enabling the system to process, reason, or make decisions.
Generality: 845
Machine Understanding
Capability of AI systems to interpret and comprehend data, text, images, or situations in a manner akin to human understanding.
Generality: 828
Agent
System capable of perceiving its environment through sensors and acting upon that environment to achieve specific goals.
Generality: 790
Expert System
Computer program designed to mimic the decision-making abilities of a human expert in a specific domain.
Generality: 765
GOFAI
Good Old-Fashioned AI
Good Old-Fashioned AI
Traditional approach to AI that relies on symbolic reasoning, logic, and rule-based systems to simulate intelligent behavior.
Generality: 815
Silicon-Based Intelligence
Concept of artificial intelligence systems that operate on silicon-based hardware, contrasting with biological, carbon-based forms of intelligence such as humans.
Generality: 777
Frame Problem
Challenge in AI of representing and updating the effects of actions in a dynamic world without having to explicitly state all conditions that remain unchanged.
Generality: 625
Hierarchical Planning
Approach to solving complex problems by breaking them down into more manageable sub-problems, organizing these into a hierarchy.
Generality: 845
Admissible Heuristic
A heuristic is considered admissible if it never overestimates the cost of reaching the goal in search algorithms, ensuring an optimal solution.
Generality: 575
Production System
A framework used in AI for automated problem-solving that consists of a set of rules and data, enabling systematic exploration of possible actions to achieve a goal state.
Generality: 725
Cognitive Architecture
A theory or model that outlines the underlying structure and mechanisms of the human mind or AI systems, guiding the integration of various cognitive processes.
Generality: 850
CSPs
Constraint Satisfaction Problems
Constraint Satisfaction Problems
Mathematical problems defined by a set of variables, a domain of values for each variable, and a set of constraints specifying allowable combinations of values.
Generality: 800
Inference Engine
Software component that applies logical rules to a knowledge base to deduce new information or solve specific problems.
Generality: 675
Dualism
Theory or concept that emphasizes the division between symbolic (classical) AI and sub-symbolic (connectionist) AI.
Generality: 830
Reasoning System
Software entities designed to emulate human reasoning processes by drawing logical inferences from available data or known facts.
Generality: 775
AI Winter
Periods of reduced funding and interest in AI research and development, often due to unmet expectations and lack of significant progress.
Generality: 525
Commonsense Reasoning
The ability of AI systems to make presumptions about the type of
Generality: 775
Blackboard System
A problem-solving approach that uses a shared knowledge base or
Generality: 525
Autonomous Learning
Systems capable of learning and adapting their strategies or knowledge without human intervention, based on their interactions with the environment.
Generality: 870
Situational Models
Cognitive frameworks that allow AI systems to understand and predict dynamic environments by continuously integrating contextual information.
Generality: 660
Narrow AI
Also known as Weak AI, refers to AI systems designed to perform a specific task or a narrow range of tasks with a high level of proficiency.
Generality: 760
Cognitive Computing
Computer systems that simulate human thought processes to solve complex problems.
Generality: 900
Autonomous Reasoning
Capacity of AI systems to make independent decisions or draw conclusions based on logic or data without human intervention.
Generality: 850
Instruction Following Model
AI system designed to execute tasks based on specific commands or instructions provided by users.
Generality: 640
Instruction-Following
Ability to accurately understand and execute tasks based on given directives.
Generality: 725
Agentic AI Systems
Advanced AI capable of making decisions and taking actions autonomously to achieve specific goals, embodying characteristics of agency and decision-making usually associated with humans or animals.
Generality: 775