Mind, computational theories of
... such as modus ponens, that are defined over their syntactic form, and it is often feared that CTM is committed to ‘homunculi’ in the brain executing the rules. However, the rules could also be obeyed by a Turing machine or, alternatively, a machine constructed along the lines of our simple adder: fo ...
... such as modus ponens, that are defined over their syntactic form, and it is often feared that CTM is committed to ‘homunculi’ in the brain executing the rules. However, the rules could also be obeyed by a Turing machine or, alternatively, a machine constructed along the lines of our simple adder: fo ...
The Relevance of Artificial Intelligence for Human Cognition
... to compute the meaning of a complex (logical) expression using the meaning of the embedded subexpressions. On the other hand, it is assumed that neural networks are noncompositional on a principal basis making it difficult to represent complex data structures like lists, trees, tables, formulas etc. ...
... to compute the meaning of a complex (logical) expression using the meaning of the embedded subexpressions. On the other hand, it is assumed that neural networks are noncompositional on a principal basis making it difficult to represent complex data structures like lists, trees, tables, formulas etc. ...
Multi-Agent Systems
... “Agent = a hardware or (more usually) a software-based computer system that enjoys the following properties: autonomy - agents operate without the direct intervention of humans or others, and have some kind of control over their actions and internal state; ...
... “Agent = a hardware or (more usually) a software-based computer system that enjoys the following properties: autonomy - agents operate without the direct intervention of humans or others, and have some kind of control over their actions and internal state; ...
Swarm Intelligence
... • The second occurs when an agent's action alters its environment such that the environmental changes made by a different agent are also modified. – If one agent turns off the main water valve to a building, the effect of another agent turning on the kitchen faucet is ...
... • The second occurs when an agent's action alters its environment such that the environmental changes made by a different agent are also modified. – If one agent turns off the main water valve to a building, the effect of another agent turning on the kitchen faucet is ...
Deontic Cognitive Event Calculus - Rensselaer Polytechnic Institute
... The rule for the communication operator is from the analysis in (Wooldridge 2009, Chapter 7); the rules for the rest of the modal operators come from (Arkoudas & Bringsjord 2008a) and (Bringsjord & Govindarajulu 2013). Rules R11a and R11b enable an agent which believes in {φ2 , . . . , φn } to also ...
... The rule for the communication operator is from the analysis in (Wooldridge 2009, Chapter 7); the rules for the rest of the modal operators come from (Arkoudas & Bringsjord 2008a) and (Bringsjord & Govindarajulu 2013). Rules R11a and R11b enable an agent which believes in {φ2 , . . . , φn } to also ...
Belief-optimal Reasoning for Cyber
... State space S Successor function: x S SUCC(x) 2S Initial state s0 ...
... State space S Successor function: x S SUCC(x) 2S Initial state s0 ...
The BICA Cognitive Decathlon
... An important aspect of human intelligence is the selfdirected ability to explore the environment and learn from it. Yet most problems AI systems face are well defined with clear goal. Perhaps a more difficult problem is discovering these goals in the first place. This task attempts to replicate the ...
... An important aspect of human intelligence is the selfdirected ability to explore the environment and learn from it. Yet most problems AI systems face are well defined with clear goal. Perhaps a more difficult problem is discovering these goals in the first place. This task attempts to replicate the ...
A “Consciousness” Based Architecture for a Functioning Mind
... and metacognition modules. The various modules (partially) implement several different theories of these various aspects of cognition. The mechanisms used in implementing the several modules have been inspired by a number of different “new AI” techniques. One software agent embodying much of the arc ...
... and metacognition modules. The various modules (partially) implement several different theories of these various aspects of cognition. The mechanisms used in implementing the several modules have been inspired by a number of different “new AI” techniques. One software agent embodying much of the arc ...
Test-1 Solution Thinking humanly Thinking rationally Acting
... The time complexity of a depth-first Search to depth d is O(b^d) since it generates the same set of nodes as breadth-first search, but simply in a different order. Thus practically depth-first search is time-limited rather than space-limited. ...
... The time complexity of a depth-first Search to depth d is O(b^d) since it generates the same set of nodes as breadth-first search, but simply in a different order. Thus practically depth-first search is time-limited rather than space-limited. ...
Tree of Knowledge
... Tree of Knowledge In one way, the Tree of Knowledge (ToK) System reflects a fairly common hierarchy of nature and of the sciences that has been represented in one way or another since the time of Augusta Comte, who in the seventeenth century used a hierarchical conception of nature to argue for the ...
... Tree of Knowledge In one way, the Tree of Knowledge (ToK) System reflects a fairly common hierarchy of nature and of the sciences that has been represented in one way or another since the time of Augusta Comte, who in the seventeenth century used a hierarchical conception of nature to argue for the ...
Operant Conditioning Terms Teacher
... Skinner Box – a chamber containing a bar that an animal can manipulate to obtain a food or water reinforcer; devices are attached to record the animal’s rate of bar pressing ...
... Skinner Box – a chamber containing a bar that an animal can manipulate to obtain a food or water reinforcer; devices are attached to record the animal’s rate of bar pressing ...
Carving Out Evolutionary Paths Towards Greater Complexity
... The human brain has on average 100 billion neurons, and ten times as many glial cells. Not only the number of neurons, but the total number of topological permutations this number of elements presents, poses an enormous challenge to evolutionary algorithms. In a direct encoded NN, the genotype has a ...
... The human brain has on average 100 billion neurons, and ten times as many glial cells. Not only the number of neurons, but the total number of topological permutations this number of elements presents, poses an enormous challenge to evolutionary algorithms. In a direct encoded NN, the genotype has a ...
Language Emergence and Grounding in Sensorimotor Agents and
... from the evolutionary use of sensorimotor information and interaction with the environment. New simulations are currently underway to improve the robustness of the results and produce more verbnoun languages. These will mainly focus on the modification of the neural network architecture, as suggest ...
... from the evolutionary use of sensorimotor information and interaction with the environment. New simulations are currently underway to improve the robustness of the results and produce more verbnoun languages. These will mainly focus on the modification of the neural network architecture, as suggest ...
A Parsimonious Cognitive Architecture for Human
... Ross Ashby. Ashby proposed a dynamic systems model of a brain, based on the premise that a small collection of simple subsystems, tightly coupled but capable of temporary independence, could produce a wide range of complex behaviours (Ashby 1960). He maintained that despite the simplicity of his mod ...
... Ross Ashby. Ashby proposed a dynamic systems model of a brain, based on the premise that a small collection of simple subsystems, tightly coupled but capable of temporary independence, could produce a wide range of complex behaviours (Ashby 1960). He maintained that despite the simplicity of his mod ...
The Flavian Amphitheater (Colosseum) in Rome: An Excellent
... in the building and to test several hypotheses. The simulation does not need to run in real time; it will be calculated off-line to be then output to a render engine for visualization purposes. ...
... in the building and to test several hypotheses. The simulation does not need to run in real time; it will be calculated off-line to be then output to a render engine for visualization purposes. ...
behavioral animation for crowd simulation
... behavioral animation system should address these issues. These properties can be summarized as follows [57]: • Behavior: Response of an individual, group or species to the environment. • Intelligence: The ability to learn and understand new situations. • Autonomy: The quality or state of self govern ...
... behavioral animation system should address these issues. These properties can be summarized as follows [57]: • Behavior: Response of an individual, group or species to the environment. • Intelligence: The ability to learn and understand new situations. • Autonomy: The quality or state of self govern ...
Agency Systems
... the actual distributed manufacturing systems: autonomy (an agent can operate without the direct intervention of external entities, and has some kind of control over their behavior), co-operation (agents interact with other agents in order to achieve a common goal), reactivity and pro- activity (agen ...
... the actual distributed manufacturing systems: autonomy (an agent can operate without the direct intervention of external entities, and has some kind of control over their behavior), co-operation (agents interact with other agents in order to achieve a common goal), reactivity and pro- activity (agen ...
Logicist AI in Mcarthy and Hayes (1969)
... one of these states will never actually happen, for example if agent 1 is programmed to always produce output 1 in state s. McCarthy and Hayes go into more depth on this subject, including the question of whether an agent needs to be able to bring about a state under all possible combinations of ext ...
... one of these states will never actually happen, for example if agent 1 is programmed to always produce output 1 in state s. McCarthy and Hayes go into more depth on this subject, including the question of whether an agent needs to be able to bring about a state under all possible combinations of ext ...
Multi-Agent Systems - AI-MAS
... Agent = more often defined by its characteristics - many of them may be considered as a manifestation of some aspect of intelligent behaviour. ...
... Agent = more often defined by its characteristics - many of them may be considered as a manifestation of some aspect of intelligent behaviour. ...
CIS 690 (Implementation of High
... – Mapping p: percept sequence action • Representing p as list of pairs: infinite (unless explicitly bounded) • Using p: specifies ideal mapping from percepts to actions (i.e., ideal agent) • Finding explicit p: in principle, could use trial and error • Other (implicit) representations may be easie ...
... – Mapping p: percept sequence action • Representing p as list of pairs: infinite (unless explicitly bounded) • Using p: specifies ideal mapping from percepts to actions (i.e., ideal agent) • Finding explicit p: in principle, could use trial and error • Other (implicit) representations may be easie ...
CIN_W4_Presentation_Thu_Batten
... • Synergetics and self-organization of brain function and cognition (Haken, Kelso, Freeman, Lewis) • Circular causality describes bidirectional causation between different levels of a system (Haken, 1977). Maurice MerleauPonty introduced the concept, claiming that every action and every sensation is ...
... • Synergetics and self-organization of brain function and cognition (Haken, Kelso, Freeman, Lewis) • Circular causality describes bidirectional causation between different levels of a system (Haken, 1977). Maurice MerleauPonty introduced the concept, claiming that every action and every sensation is ...
CS 561: Artificial Intelligence
... remain to be solved? Different types of robots. Tasks that robots are for. Parts of robots. Architectures. Configuration spaces. Navigation and motion planning. Towards highly-capable robots. What have we learned. Where do we go from here? ...
... remain to be solved? Different types of robots. Tasks that robots are for. Parts of robots. Architectures. Configuration spaces. Navigation and motion planning. Towards highly-capable robots. What have we learned. Where do we go from here? ...
The Relationship Between Matter and Life
... discovery might come about is through ‘new mathematics’. This would not require any new physics to be present in living systems. We may simply not be seeing some fundamental mathematical description of what is going on in living systems and so be leaving it out of our AI and Alife models. What might ...
... discovery might come about is through ‘new mathematics’. This would not require any new physics to be present in living systems. We may simply not be seeing some fundamental mathematical description of what is going on in living systems and so be leaving it out of our AI and Alife models. What might ...